Does Maintaining A Healthier Diet Help Us Fight Against COVID-19?
Authors: Sofia Chalkias, Ryan Abeysinghe
Introduction
Coronavirus (COVID-19) is an infectious respiratory disease caused by the SARS-CoV-2 virus. The first case of COVID-19 was reported on December 1, 2019. COVID-19 began at the beginning of December 2019 near Wuhan City, Hubei Province, China. The cause of the pandemic was due to a new coronavirus, later called SARS-CoV-2. SARS-CoV-2 is of animal origin, with genetic similarity to bat coronaviruses, thought to result from a bat virome (bat-borne virus) [1]. In the past, outbreaks of some infectious diseases have been attributed to viruses from birds, pigs, and other animals that are lethal to humans.
Most people infected with the virus develop mild to moderate respiratory illness and recover without the need for special treatment. However, some people become severely ill and need to see a doctor immediately, or within a few days of contracting symptoms. The Elderly and individuals with underlying disorders such as cardiovascular disease, diabetes, chronic respiratory illness, and cancer are more likely to contract serious illnesses, so they are at high-risk of acquire coronavirus [2]. Anyone is able to become infected with COVID-19, become seriously ill, or die. Although, the rate of contraction in younger individuals tend to persist much less.
The best way to prevent and delay transmission of Coronavirus is to be well informed about how the virus is spreading. The virus is able to be spread by small particles of liquid as an infected person coughs, sneezes, talks, or breathes through their mouth or nose. To protect yourself and others from infection, it is advised to stay at least 1 meter away from others, wear a properly-fitting mask, wash your hands frequently, or use alcohol-based rubbing. Receiving a vaccine is highly recommended to fight against being infected with the Coronavirus.
With the rise of the COVID-19 pandemic, there is much uncertainty and misinformation being spread. In this final tutorial, we decided to address the importance of diet and maintaining a healthy lifestyle to lessen the risk of contracting COVID-19. Utilizing worldwide demographics and data, we seek to illustrate through information extraction, visual creativity, and statistical patterns to prove if having a healthier diet will increase the chances of survival against COVID-19. Through Data Science techniques such as Python regression analysis, null-hypothesis testing, and exploratory data analysis, we are determined to prove and disprove popular assumptions as to whether certain factors regarding the health of the individual affect COVID-19 mortality rates. The following variables will be utilized to prove our hypothesis: Obesity, Undernourishment.
Getting Started
Before you begin, import the libraries below into your Python 3 workspace. Each one of the libraries used below will be used to help visualize and manipulate the datasets.
# Install
! pip install plotly
# Import Libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import statsmodels.formula.api as sm
import plotly.express as px
import plotly.graph_objects as go
# From Libraries
from sklearn import linear_model
from scipy import stats
from patsy.builtins import Q
Collecting plotly
Downloading plotly-5.4.0-py2.py3-none-any.whl (25.3 MB)
|████████████████████████████████| 25.3 MB 28.0 MB/s eta 0:00:01 |████████▏ | 6.5 MB 5.9 MB/s eta 0:00:04
Requirement already satisfied: six in /opt/conda/lib/python3.8/site-packages (from plotly) (1.15.0)
Collecting tenacity>=6.2.0
Downloading tenacity-8.0.1-py3-none-any.whl (24 kB)
Installing collected packages: tenacity, plotly
Successfully installed plotly-5.4.0 tenacity-8.0.1
Information About The Dataset
The datasets that we used came from Kaggle: \ [Covid-19 Healthy Diet Dataset - Fat Supply Quantity](https://www.kaggle.com/mariaren/covid19-healthy-diet-dataset?select=Fat_Supply_Quantity_Data.csv) and [Covid-19 Healthy Diet Dataset - Food Supply Quantity](https://www.kaggle.com/mariaren/covid19-healthy-diet-dataset?select=Food_Supply_Quantity_kg_Data.csv)
There are 33 columns in the dataset :\
Specifically, the one dataset we are using is for the Fat Supply Quantity, meaning the percentage of fat intake from different types of food across the world. We will discover the further impact of these statistics in this tutorial.
Fat Supply Quantity Dataset
# Read the csv file on Covid 19 Data in the United States
covid_df = pd.read_csv("Fat_Supply_Quantity_Data.csv")
# Order all the Countries in the 'Country' column by alphabetical order
covid_df = covid_df.sort_values('Country', ascending = True)
# Print all the columns of the dataset
pd.set_option('display.max_columns', None)
# Print all the rows of the dataset
pd.set_option('display.max_rows', None)
# Print out dataset
covid_df
| Country | Alcoholic Beverages | Animal Products | Animal fats | Aquatic Products, Other | Cereals - Excluding Beer | Eggs | Fish, Seafood | Fruits - Excluding Wine | Meat | Miscellaneous | Milk - Excluding Butter | Offals | Oilcrops | Pulses | Spices | Starchy Roots | Stimulants | Sugar Crops | Sugar & Sweeteners | Treenuts | Vegetal Products | Vegetable Oils | Vegetables | Obesity | Undernourished | Confirmed | Deaths | Recovered | Active | Population | Unit (all except Population) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | 0.0000 | 21.6397 | 6.2224 | 0.0000 | 8.0353 | 0.6859 | 0.0327 | 0.4246 | 6.1244 | 0.0163 | 8.2803 | 0.3103 | 1.0452 | 0.1960 | 0.2776 | 0.0490 | 0.0980 | 0.0000 | 0.0000 | 0.7513 | 28.3684 | 17.0831 | 0.3593 | 4.5 | 29.8 | 0.142134 | 0.006186 | 0.123374 | 0.012574 | 3.892800e+07 | % |
| 1 | Albania | 0.0000 | 32.0002 | 3.4172 | 0.0000 | 2.6734 | 1.6448 | 0.1445 | 0.6418 | 8.7428 | 0.0170 | 17.7576 | 0.2933 | 3.1622 | 0.1148 | 0.0000 | 0.0510 | 0.5270 | 0.0000 | 0.0000 | 0.9181 | 17.9998 | 9.2443 | 0.6503 | 22.3 | 6.2 | 2.967301 | 0.050951 | 1.792636 | 1.123714 | 2.838000e+06 | % |
| 2 | Algeria | 0.0000 | 14.4175 | 0.8972 | 0.0000 | 4.2035 | 1.2171 | 0.2008 | 0.5772 | 3.8961 | 0.0439 | 8.0934 | 0.1067 | 1.1983 | 0.2698 | 0.1568 | 0.1129 | 0.2886 | 0.0000 | 0.0000 | 0.8595 | 35.5857 | 27.3606 | 0.5145 | 26.6 | 3.9 | 0.244897 | 0.006558 | 0.167572 | 0.070767 | 4.435700e+07 | % |
| 3 | Angola | 0.0000 | 15.3041 | 1.3130 | 0.0000 | 6.5545 | 0.1539 | 1.4155 | 0.3488 | 11.0268 | 0.0308 | 1.2309 | 0.1539 | 3.9902 | 0.3282 | 0.0103 | 0.7078 | 0.1128 | 0.0000 | 0.0000 | 0.0308 | 34.7010 | 22.4638 | 0.1231 | 6.8 | 25 | 0.061687 | 0.001461 | 0.056808 | 0.003419 | 3.252200e+07 | % |
| 4 | Antigua and Barbuda | 0.0000 | 27.7033 | 4.6686 | 0.0000 | 3.2153 | 0.3872 | 1.5263 | 1.2177 | 14.3202 | 0.0898 | 6.6607 | 0.1347 | 1.3579 | 0.0673 | 0.3591 | 0.0449 | 1.0549 | 0.0000 | 0.0000 | 0.2020 | 22.2995 | 14.4436 | 0.2469 | 19.1 | NaN | 0.293878 | 0.007143 | 0.190816 | 0.095918 | 9.800000e+04 | % |
| 5 | Argentina | 0.0000 | 30.3572 | 3.3076 | 0.0000 | 1.3316 | 1.5706 | 0.1664 | 0.2091 | 19.2693 | 0.0000 | 5.8512 | 0.1878 | 0.0640 | 0.0213 | 0.0213 | 0.1110 | 0.2475 | 0.0000 | 0.0000 | 0.1366 | 19.6449 | 17.3147 | 0.1878 | 28.5 | 4.6 | 4.356147 | 0.108227 | 3.905192 | 0.342729 | 4.537700e+07 | % |
| 6 | Armenia | 0.0000 | 29.6642 | 6.2619 | 0.0000 | 2.5068 | 1.6196 | 0.2218 | 0.5468 | 10.8165 | 0.0361 | 10.4709 | 0.2734 | 0.6602 | 0.0774 | 0.0103 | 0.0567 | 1.8002 | 0.0000 | 0.0000 | 0.9542 | 20.3384 | 12.8127 | 0.8717 | 20.9 | 4.3 | 5.681225 | 0.105345 | 5.398410 | 0.177470 | 2.956000e+06 | % |
| 7 | Australia | 0.0000 | 24.1099 | 4.6030 | 0.0000 | 0.9908 | 0.7017 | 0.4515 | 0.4028 | 11.6002 | 0.0520 | 6.5196 | 0.2339 | 1.2929 | 0.0260 | 0.1007 | 0.0422 | 0.7926 | 0.0000 | 0.0000 | 1.6145 | 25.8901 | 20.3612 | 0.2144 | 30.4 | <2.5 | 0.112025 | 0.003530 | 0.101289 | 0.007207 | 2.575400e+07 | % |
| 8 | Austria | 0.0000 | 27.8268 | 12.8517 | 0.0000 | 1.2297 | 1.2147 | 0.4259 | 0.2249 | 8.1099 | 0.0000 | 5.1497 | 0.0750 | 1.1367 | 0.0120 | 0.1020 | 0.0450 | 0.4439 | 0.0000 | 0.0000 | 0.8398 | 22.1762 | 17.9323 | 0.2039 | 21.9 | <2.5 | 4.739982 | 0.089679 | 4.496870 | 0.153433 | 8.914000e+06 | % |
| 9 | Azerbaijan | 0.0000 | 32.1198 | 7.7987 | 0.0000 | 5.4481 | 2.0197 | 0.2122 | 0.5940 | 11.9993 | 0.0170 | 9.9202 | 0.1612 | 0.1867 | 0.0255 | 0.0170 | 0.1697 | 1.3663 | 0.0000 | 0.0000 | 2.2573 | 17.8802 | 7.1538 | 0.6534 | 19.9 | <2.5 | 2.285536 | 0.031223 | 2.225574 | 0.028740 | 1.010800e+07 | % |
| 10 | Bahamas | 0.0000 | 30.2259 | 4.5600 | 0.0000 | 3.6327 | 1.2829 | 1.4991 | 0.8995 | 17.4941 | 0.3556 | 5.1318 | 0.2580 | 2.6077 | 0.0209 | 0.2719 | 0.0349 | 0.9343 | 0.0000 | 0.0000 | 0.4532 | 19.7741 | 10.1659 | 0.3974 | 32.1 | NaN | 2.100763 | 0.044784 | 1.735115 | 0.320865 | 3.930000e+05 | % |
| 11 | Bangladesh | 0.0000 | 9.8365 | 1.2369 | 0.0000 | 6.9946 | 1.2664 | 2.1646 | 0.4270 | 1.8407 | 0.0147 | 3.2249 | 0.1178 | 0.6332 | 0.5448 | 1.0602 | 0.2209 | 0.0295 | 0.0147 | 0.0000 | 0.2651 | 40.1561 | 29.6422 | 0.3092 | 3.4 | 14.7 | 0.316691 | 0.004823 | 0.284344 | 0.027524 | 1.698090e+08 | % |
| 12 | Barbados | 0.0000 | 25.8451 | 3.9733 | 0.0000 | 2.1187 | 1.2130 | 1.8060 | 0.4636 | 13.1382 | 0.3235 | 5.6176 | 0.0970 | 3.2616 | 0.2318 | 0.3181 | 0.1078 | 0.6038 | 0.0000 | 0.0000 | 0.7817 | 24.1576 | 15.6882 | 0.2534 | 24.8 | 3.9 | 0.583972 | 0.006272 | 0.470035 | 0.107666 | 2.870000e+05 | % |
| 13 | Belarus | 0.0000 | 23.8181 | 7.8662 | 0.0000 | 4.8075 | 1.5772 | 0.5151 | 0.2316 | 11.5636 | 0.0519 | 2.0644 | 0.2316 | 0.4392 | 0.0000 | 0.0160 | 0.1957 | 0.8385 | 0.0000 | 0.0000 | 1.0462 | 26.1859 | 18.2119 | 0.3394 | 26.6 | <2.5 | 2.740896 | 0.018912 | 2.612704 | 0.109280 | 9.375000e+06 | % |
| 14 | Belgium | 0.0000 | 26.7378 | 12.6234 | 0.0000 | 1.3531 | 1.1703 | 0.6188 | 0.2373 | 5.6817 | 0.0000 | 6.5057 | 0.1379 | 0.5226 | 0.0353 | 0.0994 | 0.0770 | 0.0834 | 0.0000 | 0.0000 | 1.2056 | 23.2622 | 19.3504 | 0.2982 | 24.5 | <2.5 | 6.286322 | 0.185428 | 0.000000 | 6.100894 | 1.151500e+07 | % |
| 15 | Belize | 0.0000 | 23.7877 | 9.8102 | 0.0000 | 3.0510 | 0.6759 | 0.4155 | 0.3039 | 10.3435 | 0.1984 | 2.5053 | 0.0310 | 1.4511 | 0.3783 | 0.0496 | 0.0310 | 0.8062 | 0.0000 | 0.0000 | 0.3845 | 26.2123 | 19.3538 | 0.2108 | 22.4 | 7.5 | 2.872792 | 0.073031 | 2.739618 | 0.060143 | 4.190000e+05 | % |
| 16 | Benin | 0.0000 | 6.1742 | 0.4816 | 0.0000 | 4.6952 | 0.2064 | 0.8599 | 0.1978 | 3.2849 | 0.0258 | 1.2469 | 0.0946 | 7.3007 | 0.6535 | 2.5970 | 1.0835 | 0.1118 | 0.0000 | 0.0000 | 1.9176 | 43.8301 | 24.8775 | 0.3612 | 8.2 | 10.1 | 0.034344 | 0.000450 | 0.029183 | 0.004710 | 1.220900e+07 | % |
| 17 | Bolivia | 0.0000 | 30.4177 | 4.1685 | 0.0000 | 2.7296 | 1.5174 | 0.1831 | 0.5407 | 21.1476 | 0.0436 | 3.2703 | 0.1395 | 1.3604 | 0.2093 | 0.1483 | 0.4796 | 0.7849 | 0.0000 | 0.0000 | 0.7413 | 19.5779 | 12.3485 | 0.1919 | 18.7 | 17.1 | 1.952446 | 0.092435 | 1.438614 | 0.421396 | 1.163300e+07 | % |
| 18 | Bosnia and Herzegovina | 0.0000 | 24.6478 | 2.4453 | 0.0000 | 3.6588 | 0.8354 | 0.3049 | 0.5976 | 9.6957 | 0.0915 | 11.2629 | 0.1037 | 0.9208 | 0.2012 | 2.2196 | 0.1342 | 2.4819 | 0.0000 | 0.0000 | 0.9574 | 25.3552 | 13.2996 | 0.7866 | 19.4 | <2.5 | 3.762085 | 0.145535 | 2.960317 | 0.656233 | 3.281000e+06 | % |
| 19 | Botswana | 0.0000 | 16.9634 | 4.1310 | 0.0000 | 7.1830 | 0.2697 | 0.3622 | 0.1696 | 3.4759 | 0.1927 | 8.5241 | 0.2081 | 1.1715 | 0.1156 | 0.5472 | 0.1927 | 0.7399 | 0.0000 | 0.0000 | 0.1541 | 33.0328 | 22.3815 | 0.1850 | 16.1 | 26.4 | 1.014372 | 0.007035 | 0.844799 | 0.162538 | 2.317000e+06 | % |
| 20 | Brazil | 0.0000 | 24.8515 | 4.3627 | 0.0000 | 1.1278 | 0.7706 | 0.1886 | 0.2528 | 14.2920 | 0.0000 | 5.1654 | 0.0763 | 1.7097 | 0.2528 | 0.0080 | 0.1204 | 0.1164 | 0.0361 | 0.0120 | 0.1766 | 25.1445 | 21.2153 | 0.1204 | 22.3 | <2.5 | 4.460165 | 0.108603 | 3.979469 | 0.372094 | 2.118120e+08 | % |
| 21 | Bulgaria | 0.0000 | 27.1456 | 8.0274 | 0.0000 | 1.8485 | 1.2201 | 0.3404 | 0.2723 | 9.3523 | 0.0262 | 7.9698 | 0.2356 | 1.6547 | 0.0471 | 0.6179 | 0.0367 | 0.1885 | 0.0000 | 0.0000 | 0.3404 | 22.8518 | 17.5787 | 0.2461 | 27.4 | 3.6 | 3.227256 | 0.134416 | 2.788956 | 0.303883 | 6.927000e+06 | % |
| 22 | Burkina Faso | 0.0000 | 7.2367 | 0.5981 | 0.0000 | 10.5524 | 0.4061 | 0.3692 | 0.0443 | 3.5741 | 0.0148 | 2.1636 | 0.1255 | 11.9406 | 0.5391 | 0.0960 | 0.0369 | 0.0222 | 0.0000 | 0.0000 | 0.2658 | 42.7706 | 19.1774 | 0.0665 | 4.5 | 20 | 0.053710 | 0.000641 | 0.048031 | 0.005038 | 2.090300e+07 | % |
| 23 | Cabo Verde | 0.0000 | 21.9578 | 4.2923 | 0.0000 | 5.1318 | 0.8468 | 0.5256 | 0.1898 | 9.9204 | 0.1679 | 6.2851 | 0.0803 | 1.4819 | 0.4526 | 0.9709 | 0.0949 | 0.4161 | 0.0000 | 0.0000 | 0.1752 | 28.0385 | 18.6656 | 0.3066 | 10.6 | 12.6 | 2.586331 | 0.024281 | 2.461151 | 0.100899 | 5.560000e+05 | % |
| 24 | Cambodia | 0.0000 | 18.8510 | 0.8839 | 0.0000 | 9.4179 | 0.5639 | 4.8461 | 0.2438 | 11.7799 | 0.1372 | 0.6248 | 0.1372 | 8.2902 | 0.2743 | 0.5029 | 0.3657 | 0.0610 | 0.0762 | 0.0000 | 0.3048 | 31.1490 | 11.2313 | 0.2591 | 3.5 | 16.4 | 0.003059 | 0.000000 | 0.002930 | 0.000129 | 1.549700e+07 | % |
| 25 | Cameroon | 0.0000 | 6.3264 | 0.7838 | 0.0000 | 6.9796 | 0.0746 | 0.9051 | 0.7931 | 3.3685 | 0.0280 | 1.1197 | 0.0840 | 9.7509 | 0.8491 | 0.7465 | 0.5319 | 0.1213 | 0.0000 | 0.0000 | 0.1026 | 43.6689 | 23.2155 | 0.5505 | 9.5 | 9.9 | 0.118031 | 0.001782 | 0.110914 | 0.005335 | 2.659800e+07 | % |
| 26 | Canada | 0.0000 | 23.1663 | 9.7895 | 0.0000 | 1.5440 | 1.2437 | 0.4244 | 0.4244 | 7.8211 | 0.0620 | 3.8812 | 0.0065 | 2.3600 | 0.1991 | 0.0979 | 0.0588 | 0.1795 | 0.0000 | 0.0000 | 1.2110 | 26.8353 | 20.4733 | 0.2220 | 31.3 | <2.5 | 2.109961 | 0.054203 | 1.909848 | NaN | 3.819000e+07 | % |
| 27 | Central African Republic | 0.0000 | 18.5453 | 2.8767 | 0.0000 | 2.7645 | 0.1122 | 0.5509 | 0.4998 | 12.9144 | 0.0102 | 1.7342 | 0.3468 | 7.0183 | 0.4794 | 0.0102 | 1.0609 | 0.0408 | 0.0000 | 0.0000 | 0.0000 | 31.4598 | 19.4838 | 0.0918 | 6.3 | 59.6 | 0.103292 | 0.001304 | 0.101139 | 0.000849 | 4.830000e+06 | % |
| 28 | Chad | 0.0000 | 16.8564 | 3.1261 | 0.0000 | 7.9860 | 0.0701 | 0.6480 | 0.0701 | 7.8546 | 0.0088 | 4.4308 | 0.7268 | 16.7863 | 0.5342 | 0.0000 | 0.1926 | 0.0263 | 0.0000 | 0.0000 | 0.0000 | 33.1436 | 7.5131 | 0.0263 | 4.8 | 37.5 | 0.020578 | 0.000741 | 0.016881 | 0.002957 | 1.687700e+07 | % |
| 29 | Chile | 0.0000 | 32.5206 | 5.2608 | 0.0000 | 3.1847 | 1.4085 | 0.5204 | 0.4186 | 20.2172 | 0.0339 | 5.0798 | 0.0396 | 1.1596 | 0.2093 | 0.0283 | 0.1810 | 0.4356 | 0.0000 | 0.0000 | 0.7241 | 17.4737 | 10.8440 | 0.2602 | 28.8 | 2.7 | 3.842229 | 0.097047 | 3.626194 | NaN | 1.947000e+07 | % |
| 30 | China | 0.0000 | 31.0465 | 3.4468 | 0.0097 | 2.5989 | 2.3066 | 0.9817 | 0.2344 | 21.6062 | 0.1517 | 2.2156 | 0.4784 | 1.8351 | 0.0234 | 0.0676 | 0.0565 | 0.9362 | 0.0000 | 0.0179 | 1.7979 | 18.9535 | 10.6590 | 0.5763 | 6.6 | 8.5 | 0.007156 | 0.000344 | 0.006685 | 0.000126 | 1.402385e+09 | % |
| 31 | Colombia | 0.0000 | 21.4008 | 1.7819 | 0.0000 | 1.7347 | 1.7819 | 0.3717 | 1.2273 | 11.3996 | 0.0177 | 5.9535 | 0.1180 | 0.9854 | 0.1652 | 0.1239 | 0.2832 | 0.2655 | 0.0000 | 0.0000 | 0.5251 | 28.5992 | 23.0824 | 0.1829 | 22.1 | 4.8 | 4.350795 | 0.112639 | 4.090144 | 0.148012 | 4.944400e+07 | % |
| 32 | Congo | 0.0000 | 12.9993 | 0.3390 | 0.0000 | 2.7016 | 0.1377 | 1.8540 | 0.8370 | 9.6514 | 0.0530 | 0.6780 | 0.3390 | 5.0429 | 0.1483 | 0.0106 | 1.0806 | 0.5191 | 0.0000 | 0.0000 | 0.0212 | 36.9954 | 26.0091 | 0.5827 | 8.4 | 40.3 | 0.571675 | 0.014516 | 0.379721 | 0.177437 | 5.518000e+06 | % |
| 33 | Costa Rica | 0.0000 | 20.5571 | 6.1000 | 0.0000 | 1.6733 | 1.1492 | 0.9286 | 0.5700 | 5.6449 | 0.0138 | 6.6700 | 0.0552 | 1.0389 | 0.2436 | 0.0414 | 0.0506 | 0.4045 | 0.0000 | 0.0138 | 0.3540 | 29.4475 | 24.8736 | 0.1701 | 25.7 | 4.8 | 3.843436 | 0.052279 | 3.055782 | 0.735375 | 5.111000e+06 | % |
| 34 | Cote d'Ivoire | 0.0000 | 5.3253 | 0.2726 | 0.0000 | 4.9709 | 0.4271 | 1.2268 | 0.5271 | 2.5809 | 0.0091 | 0.5634 | 0.2545 | 4.8891 | 0.1000 | 0.6089 | 1.2359 | 1.9357 | 0.0000 | 0.0000 | 2.3355 | 44.6747 | 27.7354 | 0.3272 | 9.0 | 19 | 0.112959 | 0.000619 | 0.106105 | 0.006235 | 2.617500e+07 | % |
| 35 | Croatia | 0.0000 | 29.3768 | 7.4457 | 0.0000 | 2.9565 | 0.9476 | 0.5633 | 0.2577 | 11.4896 | 0.0000 | 8.7951 | 0.1310 | 1.8123 | 0.0175 | 0.0655 | 0.0393 | 2.6726 | 0.0000 | 0.0000 | 0.6987 | 20.6254 | 11.7123 | 0.3930 | 27.1 | <2.5 | 5.848905 | 0.127960 | 5.648706 | 0.072239 | 4.020000e+06 | % |
| 36 | Cuba | 0.0000 | 25.9025 | 3.2213 | 0.0000 | 4.4779 | 1.4788 | 0.2638 | 0.6179 | 16.0233 | 0.0139 | 4.7695 | 0.1458 | 2.6937 | 0.6248 | 0.0417 | 0.3749 | 0.1458 | 0.0000 | 0.0000 | 0.0069 | 24.0975 | 14.5446 | 0.5554 | 26.7 | <2.5 | 0.283760 | 0.002065 | 0.230822 | 0.050873 | 1.128100e+07 | % |
| 37 | Cyprus | 0.0000 | 20.9578 | 1.8698 | 0.0000 | 3.4616 | 1.0044 | 0.7309 | 0.3632 | 10.5506 | 0.1614 | 6.6945 | 0.1031 | 2.1164 | 0.0628 | 0.0538 | 0.0404 | 1.9236 | 0.0000 | 0.0000 | 0.8609 | 29.0467 | 19.7381 | 0.2601 | 22.6 | 5.6 | 2.621707 | 0.017481 | 0.170423 | 2.433803 | 1.207000e+06 | % |
| 38 | Czechia | 0.0000 | 25.1685 | 9.7011 | 0.0000 | 1.1998 | 0.8222 | 0.3000 | 0.1870 | 8.6212 | 0.0212 | 5.6463 | 0.0776 | 0.4941 | 0.0353 | 0.0635 | 0.0565 | 0.9563 | 0.0000 | 0.0000 | 0.4164 | 24.8333 | 21.2267 | 0.1729 | 28.5 | <2.5 | 9.612841 | 0.159845 | 8.555328 | 0.897667 | 1.071600e+07 | % |
| 39 | Denmark | 0.0000 | 35.4131 | 14.2498 | 0.0000 | 1.4741 | 1.7484 | 1.1313 | 0.5257 | 9.2408 | 0.0000 | 8.8142 | 0.2285 | 0.7161 | 0.0152 | 0.1752 | 0.0533 | 1.6874 | 0.0000 | 0.0000 | 1.1846 | 14.5850 | 8.4752 | 0.2819 | 21.3 | <2.5 | 3.463218 | 0.038017 | 3.307360 | 0.117842 | 5.829000e+06 | % |
| 40 | Djibouti | 0.0000 | 11.1065 | 1.3966 | 0.0000 | 4.3977 | 0.2494 | 0.2910 | 0.1247 | 5.1210 | 0.1413 | 3.8573 | 0.1912 | 0.4323 | 0.5570 | 0.3159 | 0.0333 | 0.5653 | 0.0000 | 0.0000 | 0.4157 | 38.8977 | 31.4490 | 0.4572 | 12.2 | 18.9 | 0.601316 | 0.006377 | 0.592308 | 0.002632 | 9.880000e+05 | % |
| 41 | Dominica | 0.0000 | 26.9250 | 3.8063 | 0.0000 | 1.4913 | 0.3619 | 1.6536 | 1.1856 | 13.7339 | 0.1123 | 7.2320 | 0.1373 | 4.8172 | 0.1373 | 0.4680 | 0.4867 | 1.7846 | 0.0000 | 0.0000 | 0.0312 | 23.0812 | 12.3237 | 0.2309 | 28.2 | 6.2 | 0.168056 | 0.000000 | 0.152778 | 0.015278 | 7.200000e+04 | % |
| 42 | Dominican Republic | 0.0000 | 15.2779 | 2.2261 | 0.0000 | 1.4528 | 1.1248 | 0.2484 | 3.6133 | 7.3718 | 0.0422 | 4.1194 | 0.1875 | 2.9103 | 0.1921 | 0.0609 | 0.0797 | 0.2906 | 0.0000 | 0.0000 | 0.0703 | 34.7221 | 25.8881 | 0.1218 | 26.9 | 9.5 | 2.115695 | 0.026676 | 1.577705 | 0.511314 | 1.050000e+07 | % |
| 43 | Ecuador | 0.0000 | 20.9283 | 4.7198 | 0.0000 | 3.6672 | 1.0246 | 0.2519 | 0.4367 | 8.7453 | 0.0280 | 6.0803 | 0.1008 | 0.8566 | 0.0616 | 0.0392 | 0.0840 | 0.1848 | 0.0000 | 0.0000 | 0.0784 | 29.0745 | 23.5541 | 0.0840 | 19.3 | 7.9 | 1.468306 | 0.085683 | 1.198184 | 0.184438 | 1.751100e+07 | % |
| 44 | Egypt | 0.0000 | 15.9979 | 3.4231 | 0.0000 | 13.4988 | 0.8448 | 1.3200 | 0.7216 | 6.4678 | 0.0088 | 3.6343 | 0.2992 | 4.4615 | 0.1584 | 0.2376 | 0.1936 | 0.0792 | 0.0704 | 0.0000 | 0.2992 | 34.0109 | 13.6132 | 0.6600 | 31.1 | 4.5 | 0.167759 | 0.009527 | 0.131002 | 0.027229 | 1.008030e+08 | % |
| 45 | El Salvador | 0.0000 | 23.3032 | 6.3901 | 0.0000 | 8.1958 | 1.6034 | 0.4514 | 1.4321 | 6.6547 | 0.1012 | 8.1491 | 0.0545 | 5.0669 | 0.5837 | 0.0311 | 0.1401 | 0.3269 | 0.0000 | 0.0000 | 0.1167 | 26.6968 | 10.2506 | 0.4514 | 22.7 | 9 | 0.867721 | 0.025814 | 0.778136 | 0.063771 | 6.481000e+06 | % |
| 46 | Estonia | 0.0000 | 33.2190 | 6.5339 | 0.0000 | 2.8982 | 1.5830 | 0.2818 | 0.3805 | 10.4279 | 0.0188 | 14.2750 | 0.1174 | 0.3664 | 0.0658 | 0.1926 | 0.0892 | 2.7855 | 0.0000 | 0.0000 | 1.2495 | 16.7833 | 8.4457 | 0.2865 | 23.8 | 2.9 | 3.569647 | 0.034260 | 2.828550 | 0.706837 | 1.331000e+06 | % |
| 47 | Eswatini | 0.0000 | 20.8055 | 3.1415 | 0.0000 | 12.0023 | 0.4718 | 0.3682 | 0.4718 | 11.1162 | 0.1151 | 5.4315 | 0.2762 | 3.4062 | 0.2071 | 0.8170 | 0.3222 | 0.0575 | 0.0000 | 0.0000 | 0.6559 | 29.1945 | 10.9436 | 0.1956 | 13.5 | 20.6 | 1.465670 | 0.054710 | 1.038859 | 0.372101 | 1.104000e+06 | % |
| 48 | Ethiopia | 0.0000 | 11.1691 | 1.4358 | 0.0000 | 11.3929 | 0.2238 | 0.0559 | 0.4102 | 4.1768 | 0.0000 | 5.1091 | 0.1678 | 2.6851 | 2.5545 | 2.6851 | 0.8018 | 0.0186 | 0.0000 | 0.0000 | 0.7459 | 38.8216 | 17.4156 | 0.1305 | 3.6 | 20.6 | 0.123093 | 0.001867 | 0.109237 | 0.011989 | 1.149160e+08 | % |
| 49 | Fiji | 0.0000 | 20.0472 | 7.6883 | 0.0000 | 1.5114 | 0.5773 | 1.4694 | 0.0840 | 8.4230 | 0.0262 | 1.7948 | 0.0945 | 8.9635 | 0.2991 | 0.1312 | 0.3569 | 0.4408 | 0.0000 | 0.0000 | 0.1469 | 29.9554 | 17.8168 | 0.1732 | 30.0 | 3.7 | 0.006250 | 0.000223 | 0.005915 | 0.000112 | 8.960000e+05 | % |
| 50 | Finland | 0.0000 | 36.7250 | 6.3787 | 0.0000 | 1.7872 | 0.8524 | 0.9384 | 0.2901 | 16.6649 | 0.1146 | 11.8155 | 0.0788 | 0.6017 | 0.0179 | 0.0430 | 0.0537 | 0.7844 | 0.0000 | 0.0000 | 0.5157 | 13.2732 | 8.8607 | 0.2041 | 24.9 | <2.5 | 0.854802 | 0.012443 | 0.560680 | 0.281678 | 5.529000e+06 | % |
| 51 | France | 0.0000 | 30.2594 | 9.1996 | 0.0000 | 1.4334 | 0.9894 | 0.8752 | 0.3869 | 11.0864 | 0.0159 | 7.9533 | 0.1554 | 0.6850 | 0.0254 | 0.0285 | 0.0412 | 0.6279 | 0.0000 | 0.0000 | 0.8530 | 19.7406 | 15.4658 | 0.1776 | 23.2 | <2.5 | 5.199055 | 0.121558 | 0.367877 | 4.709620 | 6.494000e+07 | % |
| 52 | French Polynesia | 0.0000 | 25.1596 | 4.6648 | 0.0000 | 3.7271 | 0.8220 | 1.5842 | 0.1995 | 14.0782 | 0.2913 | 3.8827 | 0.1277 | 4.7566 | 0.0399 | 0.0200 | 0.0758 | 1.2690 | 0.0000 | 0.0000 | 0.3192 | 24.8404 | 14.0024 | 0.1397 | NaN | 4.2 | NaN | NaN | NaN | NaN | 2.800000e+05 | % |
| 53 | Gabon | 0.0000 | 19.2656 | 0.7379 | 0.0000 | 4.1074 | 0.1956 | 2.0359 | 0.6401 | 13.4068 | 0.1422 | 2.2937 | 0.5957 | 8.9438 | 0.0089 | 0.0000 | 0.5779 | 0.7112 | 0.0000 | 0.0000 | 0.0178 | 30.7344 | 15.3805 | 0.2045 | 13.4 | 10.5 | 0.513537 | 0.003182 | 0.483953 | 0.026401 | 2.231000e+06 | % |
| 54 | Gambia | 0.0000 | 6.0418 | 0.2548 | 0.0000 | 4.9416 | 0.2113 | 1.3488 | 0.0373 | 1.3488 | 0.0622 | 2.8468 | 0.0311 | 12.4751 | 0.0311 | 0.0000 | 0.0124 | 0.0995 | 0.0000 | 0.0000 | 0.2362 | 43.9582 | 25.9883 | 0.0746 | 8.7 | 10.2 | 0.175300 | 0.005544 | 0.160778 | 0.008978 | 2.417000e+06 | % |
| 55 | Georgia | 0.0000 | 25.2749 | 7.2612 | 0.0000 | 4.5695 | 1.1781 | 0.4284 | 0.2071 | 7.2326 | 0.1071 | 9.0818 | 0.1000 | 0.6854 | 0.0000 | 0.0714 | 0.0928 | 2.7774 | 0.0000 | 0.0000 | 1.1566 | 24.7180 | 14.8579 | 0.1999 | 23.3 | 7.9 | 7.042261 | 0.087995 | 6.805249 | 0.149017 | 3.715000e+06 | % |
| 56 | Germany | 0.0000 | 28.1419 | 11.0084 | 0.0000 | 1.1778 | 1.0462 | 0.7019 | 0.2632 | 8.9127 | 0.0000 | 6.4289 | 0.0472 | 0.8909 | 0.0101 | 0.0844 | 0.0607 | 0.6614 | 0.0000 | 0.0000 | 1.6739 | 21.8581 | 16.8163 | 0.2160 | 25.7 | <2.5 | 2.743101 | 0.073891 | 2.451366 | 0.217844 | 8.330000e+07 | % |
| 57 | Ghana | 0.0000 | 7.6875 | 0.8060 | 0.0000 | 5.6789 | 0.3472 | 2.7774 | 1.2151 | 3.1618 | 0.0496 | 0.4216 | 0.1736 | 10.9113 | 0.3968 | 1.2771 | 2.0087 | 0.0000 | 0.0000 | 0.0000 | 0.0868 | 42.3063 | 20.4464 | 0.2480 | 9.7 | 5.5 | 0.225424 | 0.001445 | 0.204364 | 0.019615 | 3.107300e+07 | % |
| 58 | Greece | 0.0000 | 17.9063 | 1.6989 | 0.0000 | 1.3280 | 0.7749 | 0.3245 | 0.2484 | 6.6267 | 0.0298 | 8.3355 | 0.1424 | 1.8413 | 0.0795 | 0.0497 | 0.0431 | 0.7749 | 0.0000 | 0.0000 | 1.8810 | 32.0970 | 25.5332 | 0.2848 | 27.4 | <2.5 | 1.525355 | 0.055617 | 0.876299 | 0.593439 | 1.070000e+07 | % |
| 59 | Grenada | 0.0000 | 23.0842 | 2.4889 | 0.0000 | 1.4883 | 1.4440 | 1.2856 | 2.8436 | 12.9576 | 0.1267 | 4.8195 | 0.0823 | 3.3186 | 0.1900 | 0.8803 | 0.0697 | 0.8740 | 0.0000 | 0.0000 | 0.1393 | 26.9158 | 16.8841 | 0.1077 | 20.2 | NaN | 0.130973 | 0.000885 | 0.129204 | 0.000885 | 1.130000e+05 | % |
| 60 | Guatemala | 0.0000 | 15.4397 | 1.7622 | 0.0000 | 9.3956 | 2.6186 | 0.1482 | 1.2516 | 7.0735 | 0.0247 | 3.7385 | 0.0988 | 3.7879 | 0.5764 | 0.1235 | 0.0247 | 0.3788 | 0.0000 | 0.0000 | 0.9305 | 34.5603 | 17.8113 | 0.2553 | 18.8 | 15.2 | 0.901899 | 0.032403 | 0.824294 | 0.045201 | 1.806600e+07 | % |
| 61 | Guinea | 0.0000 | 6.0747 | 0.7557 | 0.0000 | 4.7086 | 0.3125 | 0.5014 | 0.3415 | 2.8993 | 0.0363 | 1.4896 | 0.1163 | 6.6633 | 0.1744 | 0.0000 | 0.3343 | 0.2616 | 0.0000 | 0.0000 | 0.0073 | 43.9253 | 30.6133 | 0.7848 | 6.6 | 16.5 | 0.116760 | 0.000669 | 0.114013 | 0.002078 | 1.256000e+07 | % |
| 62 | Guinea-Bissau | 0.0000 | 10.8323 | 0.6274 | 0.0000 | 2.8828 | 0.1509 | 0.0715 | 0.2938 | 8.0527 | 0.0556 | 1.8027 | 0.1271 | 1.7154 | 0.0794 | 0.0000 | 0.1985 | 0.2224 | 0.0000 | 0.0000 | 3.3116 | 39.1677 | 30.3288 | 0.0794 | 8.2 | 28 | 0.143851 | 0.002387 | 0.125947 | 0.015516 | 1.927000e+06 | % |
| 63 | Guyana | 0.0000 | 22.7418 | 1.0020 | 0.0000 | 2.9072 | 0.3340 | 1.1690 | 1.5030 | 12.5550 | 0.0911 | 7.6287 | 0.0531 | 9.3518 | 0.3871 | 0.8653 | 0.1290 | 0.9261 | 0.0000 | 0.0000 | 0.8805 | 27.2582 | 9.0633 | 1.1538 | 19.2 | 8.1 | 1.008767 | 0.022872 | 0.884625 | 0.101271 | 7.870000e+05 | % |
| 64 | Haiti | 0.0000 | 12.1462 | 1.7481 | 0.0000 | 5.7517 | 0.1353 | 0.3722 | 1.6804 | 7.8944 | 0.0564 | 1.8608 | 0.1353 | 3.3157 | 0.8458 | 0.0000 | 0.5526 | 0.3609 | 0.0000 | 0.0226 | 0.0000 | 37.8482 | 25.1494 | 0.1241 | 20.5 | 49.3 | 0.103113 | 0.002149 | 0.080295 | 0.020670 | 1.140300e+07 | % |
| 65 | Honduras | 0.0000 | 16.7113 | 2.6611 | 0.0000 | 8.3159 | 0.7448 | 0.1302 | 0.3760 | 7.8603 | 0.0651 | 5.2281 | 0.0868 | 0.5857 | 0.4194 | 0.0289 | 0.0217 | 0.3833 | 0.0000 | 0.0000 | 0.1012 | 33.2924 | 22.8722 | 0.1157 | 19.4 | 12.9 | 1.560270 | 0.037612 | 0.626369 | 0.896290 | 9.864000e+06 | % |
| 66 | Hungary | 0.0000 | 28.9972 | 12.3082 | 0.0000 | 1.2735 | 1.2018 | 0.1954 | 0.1270 | 10.0576 | 0.0000 | 5.2308 | 0.0033 | 0.3583 | 0.0391 | 0.1107 | 0.0391 | 0.7393 | 0.0000 | 0.0000 | 0.0456 | 21.0012 | 18.0699 | 0.2019 | 28.6 | <2.5 | 3.840739 | 0.133367 | 2.845797 | 0.861575 | 9.767000e+06 | % |
| 67 | Iceland | 0.0000 | 34.4402 | 7.1086 | 0.0000 | 4.3005 | 0.8991 | 1.6872 | 0.4975 | 13.6029 | 0.1199 | 11.0046 | 0.1349 | 0.8931 | 0.0120 | 0.1079 | 0.0300 | 1.5254 | 0.0000 | 0.0000 | 0.5005 | 15.5628 | 7.4053 | 0.1678 | 23.1 | <2.5 | 1.636141 | 0.007880 | 1.619293 | 0.008967 | 3.680000e+05 | % |
| 68 | India | 0.0000 | 16.0538 | 7.4859 | 0.0000 | 5.1196 | 0.7653 | 0.3783 | 0.4046 | 0.9061 | 0.0000 | 6.4919 | 0.0264 | 3.7386 | 1.1084 | 0.8005 | 0.0792 | 0.0176 | 0.0000 | 0.0000 | 0.5014 | 33.9462 | 21.7804 | 0.3958 | 3.8 | 14.5 | 0.773256 | 0.011070 | 0.751561 | 0.010625 | 1.400100e+09 | % |
| 69 | Indonesia | 0.0000 | 9.1722 | 0.7049 | 0.0000 | 6.6871 | 1.4549 | 2.5122 | 0.7139 | 3.6237 | 0.0000 | 0.7049 | 0.1627 | 7.3649 | 0.0452 | 0.3886 | 0.3072 | 0.4970 | 0.0000 | 0.0633 | 0.3976 | 40.8368 | 24.0918 | 0.2711 | 6.9 | 8.3 | 0.422100 | 0.011553 | 0.345620 | 0.064927 | 2.717390e+08 | % |
| 70 | Iran (Islamic Republic of) | 0.0000 | 16.9273 | 6.0372 | 0.0000 | 5.5867 | 1.3259 | 0.6114 | 0.6243 | 6.1724 | 0.0000 | 2.6389 | 0.1416 | 0.4055 | 0.2961 | 0.2124 | 0.1738 | 0.0451 | 0.0000 | 0.0000 | 4.9044 | 33.0759 | 20.2935 | 0.5278 | 25.5 | 4.9 | 1.734248 | 0.069414 | 1.482322 | 0.182512 | 8.415000e+07 | % |
| 71 | Iraq | 0.0000 | 11.1327 | 3.8118 | 0.0000 | 6.2761 | 1.9023 | 0.1441 | 0.2306 | 3.5164 | 0.0432 | 1.7366 | 0.0288 | 0.9584 | 0.1369 | 0.0576 | 0.0288 | 0.7278 | 0.0000 | 0.0000 | 0.6341 | 38.8673 | 29.6152 | 0.1513 | 27.4 | 29 | 1.579398 | 0.033004 | 1.508287 | 0.038107 | 3.972500e+07 | % |
| 72 | Ireland | 0.0000 | 27.1689 | 8.6472 | 0.0000 | 2.7091 | 0.9231 | 0.9372 | 0.2829 | 10.0477 | 0.0283 | 6.5464 | 0.0707 | 0.8630 | 0.0389 | 0.0707 | 0.0531 | 1.5137 | 0.0000 | 0.0000 | 0.8417 | 22.8329 | 16.1839 | 0.2405 | 26.9 | <2.5 | 4.048531 | 0.073436 | 0.467000 | 3.508095 | 5.003000e+06 | % |
| 73 | Israel | 0.0000 | 15.8138 | 1.2809 | 0.0000 | 1.6083 | 0.8700 | 0.5746 | 1.6051 | 8.1541 | 0.0257 | 4.8443 | 0.0867 | 3.0787 | 0.1605 | 0.0610 | 0.0353 | 0.8315 | 0.0000 | 0.0000 | 1.3194 | 34.1862 | 25.1782 | 0.2857 | 26.7 | <2.5 | 7.439052 | 0.055024 | 6.609635 | 0.774392 | 9.216000e+06 | % |
| 74 | Italy | 0.0000 | 21.8727 | 5.3931 | 0.0000 | 1.3598 | 1.0529 | 0.7327 | 0.2541 | 8.7134 | 0.0198 | 5.9146 | 0.0627 | 0.4753 | 0.0858 | 0.0099 | 0.0297 | 0.1056 | 0.0000 | 0.0000 | 1.4324 | 28.1306 | 24.1270 | 0.2277 | 22.9 | <2.5 | 4.353685 | 0.150927 | 3.494529 | 0.708229 | 6.029600e+07 | % |
| 75 | Jamaica | 0.0000 | 23.0867 | 6.1721 | 0.0064 | 2.2375 | 0.3242 | 1.2204 | 0.4322 | 9.5156 | 0.1081 | 5.7081 | 0.1462 | 3.4389 | 0.0890 | 1.4302 | 0.2161 | 0.3496 | 0.0000 | 0.0000 | 0.1398 | 26.9133 | 18.1732 | 0.2924 | 24.4 | 8 | 0.599537 | 0.012709 | 0.435208 | 0.151620 | 2.809000e+06 | % |
| 76 | Japan | 0.0000 | 19.4516 | 1.9098 | 0.0057 | 1.8642 | 3.1241 | 3.2666 | 0.1881 | 7.8331 | 0.0285 | 3.2096 | 0.1026 | 2.9816 | 0.0342 | 0.1425 | 0.0513 | 0.8266 | 0.0057 | 0.0000 | 0.6499 | 30.5456 | 23.4308 | 0.3478 | 4.4 | <2.5 | 0.320821 | 0.005059 | 0.284770 | 0.030991 | 1.259670e+08 | % |
| 77 | Jordan | 0.0000 | 12.2622 | 1.8696 | 0.0000 | 3.7391 | 0.5224 | 0.3189 | 0.1980 | 5.8122 | 0.0385 | 3.6512 | 0.0880 | 2.5074 | 0.2584 | 0.1155 | 0.0550 | 0.5994 | 0.0000 | 0.0000 | 0.9018 | 37.7378 | 29.0553 | 0.2694 | 33.4 | 12.2 | 3.126276 | 0.040912 | 2.991760 | 0.093604 | 1.067900e+07 | % |
| 78 | Kazakhstan | 0.0000 | 23.4158 | 3.0343 | 0.0000 | 1.7405 | 0.8975 | 0.1321 | 0.1787 | 9.6740 | 0.0389 | 9.5031 | 0.1748 | 0.6488 | 0.0078 | 0.0272 | 0.1088 | 0.9946 | 0.0000 | 0.0000 | 0.7654 | 26.5822 | 21.7258 | 0.3497 | 21.3 | <2.5 | 1.299402 | 0.016651 | 1.137764 | 0.144987 | 1.873200e+07 | % |
| 79 | Kenya | 0.0000 | 17.7332 | 1.8742 | 0.0000 | 9.9701 | 0.3438 | 0.2773 | 1.0757 | 6.5654 | 0.0000 | 8.4951 | 0.1885 | 1.6746 | 0.8429 | 0.0555 | 0.2551 | 0.0665 | 0.0000 | 0.0000 | 0.5989 | 32.2724 | 17.5003 | 0.2107 | 6.0 | 29.4 | 0.189975 | 0.003318 | 0.157491 | 0.029166 | 5.352800e+07 | % |
| 80 | Kiribati | 0.0000 | 10.5699 | 0.7467 | 0.0000 | 1.9560 | 0.2650 | 3.0833 | 0.3517 | 6.1955 | 0.0434 | 0.2553 | 0.0193 | 28.5639 | 0.0000 | 0.0145 | 0.2409 | 0.0193 | 0.0000 | 0.0000 | 0.8094 | 39.4325 | 7.2939 | 0.1397 | 45.6 | 2.7 | NaN | NaN | NaN | NaN | 1.250000e+05 | % |
| 81 | Korea, North | 0.0000 | 11.4709 | 0.0262 | 0.0000 | 7.2234 | 1.6911 | 0.5375 | 0.6424 | 8.7179 | 0.0131 | 0.4195 | 0.0918 | 0.9832 | 0.6555 | 0.0000 | 0.3146 | 0.0393 | 0.0000 | 0.0000 | 0.0262 | 38.5160 | 27.5957 | 1.0357 | 7.1 | 47.8 | NaN | NaN | NaN | NaN | 2.577900e+07 | % |
| 82 | Korea, South | 0.0976 | 20.0483 | 4.2523 | 0.0511 | 1.8403 | 1.3524 | 1.9147 | 0.1766 | 11.1860 | 0.0000 | 1.1386 | 0.1534 | 1.8914 | 0.0186 | 0.0372 | 0.0325 | 0.2370 | 0.0000 | 0.0000 | 1.2036 | 29.9563 | 23.7197 | 0.6924 | 4.9 | <2.5 | 0.156227 | 0.002841 | 0.136855 | 0.016531 | 5.178100e+07 | % |
| 83 | Kuwait | 0.0000 | 19.8923 | 2.1588 | 0.0000 | 3.0847 | 2.3242 | 0.3732 | 0.3496 | 9.5706 | 0.1086 | 5.2766 | 0.1890 | 1.3416 | 0.1984 | 0.5385 | 0.0472 | 1.5353 | 0.0000 | 0.0000 | 1.1810 | 30.1101 | 21.2150 | 0.5055 | 37.0 | 2.8 | 3.624728 | 0.020550 | 3.434087 | 0.170092 | 4.691000e+06 | % |
| 84 | Kyrgyzstan | 0.0000 | 29.1225 | 3.4472 | 0.0000 | 4.0964 | 0.8655 | 0.0895 | 0.2388 | 10.1776 | 0.0448 | 14.2068 | 0.3358 | 0.0895 | 0.1940 | 0.0970 | 0.1865 | 2.1564 | 0.0000 | 0.0000 | 1.5893 | 20.8849 | 11.4610 | 0.7163 | 15.4 | 7.1 | 1.288929 | 0.021580 | 1.236609 | 0.030740 | 6.594000e+06 | % |
| 85 | Lao People's Democratic Republic | 0.0000 | 21.6306 | 3.9594 | 0.0000 | 9.0989 | 0.4974 | 1.6871 | 0.8777 | 15.0283 | 0.0878 | 0.2243 | 0.2243 | 5.6076 | 0.1365 | 1.0435 | 0.3121 | 0.0780 | 0.1853 | 0.0000 | 0.0683 | 28.3792 | 9.7620 | 1.1118 | 4.5 | 16.5 | 0.000621 | 0.000000 | 0.000566 | 0.000055 | 7.242000e+06 | % |
| 86 | Latvia | 0.0000 | 30.4390 | 10.4430 | 0.0000 | 1.5314 | 1.3430 | 0.8819 | 0.2526 | 9.7976 | 0.0361 | 7.8613 | 0.1122 | 0.6334 | 0.0000 | 0.0321 | 0.1323 | 2.0044 | 0.0000 | 0.0000 | 0.8819 | 19.5630 | 13.7943 | 0.2606 | 25.7 | <2.5 | 3.749737 | 0.069769 | 3.122976 | 0.556993 | 1.902000e+06 | % |
| 87 | Lebanon | 0.0000 | 12.4024 | 2.1637 | 0.0000 | 2.2530 | 0.3290 | 0.3681 | 0.5800 | 5.1361 | 0.0390 | 4.3553 | 0.0502 | 2.8385 | 0.2175 | 0.0836 | 0.1171 | 0.7250 | 0.0000 | 0.0000 | 2.9110 | 37.5976 | 27.4593 | 0.3736 | 31.3 | 11 | 4.656938 | 0.052190 | 2.947062 | 1.657685 | 6.825000e+06 | % |
| 88 | Lesotho | 0.0000 | 12.9600 | 0.5290 | 0.0000 | 18.3763 | 0.2415 | 0.2530 | 0.1495 | 9.1881 | 0.0460 | 2.4149 | 0.3450 | 0.7820 | 0.4025 | 0.3910 | 0.1840 | 0.1495 | 0.0000 | 0.0000 | 0.0345 | 37.0285 | 16.3523 | 0.1725 | 13.5 | 13.1 | 0.437908 | 0.008543 | 0.126331 | 0.303035 | 2.142000e+06 | % |
| 89 | Liberia | 0.0000 | 7.4228 | 0.4154 | 0.0000 | 3.3592 | 0.2528 | 0.3702 | 0.1445 | 6.0051 | 0.0361 | 0.2438 | 0.1355 | 1.5803 | 0.0361 | 0.0000 | 0.3070 | 0.1174 | 0.0000 | 0.0000 | 0.3883 | 42.5772 | 36.4186 | 0.1896 | 8.6 | 37.2 | 0.038671 | 0.001661 | 0.034994 | 0.002017 | 5.058000e+06 | % |
| 90 | Lithuania | 0.0000 | 32.3048 | 9.3880 | 0.0000 | 1.7819 | 1.9226 | 1.2380 | 0.3283 | 14.2134 | 0.0094 | 5.4302 | 0.1125 | 0.8441 | 0.2345 | 0.1970 | 0.0610 | 0.3423 | 0.0000 | 0.0000 | 0.9238 | 17.6975 | 12.7128 | 0.2579 | 28.4 | <2.5 | 6.667072 | 0.104760 | 4.939621 | 1.622691 | 2.794000e+06 | % |
| 91 | Luxembourg | 0.0000 | 32.4517 | 6.4786 | 0.0000 | 1.8437 | 1.6645 | 0.6987 | 0.3256 | 16.3118 | 0.0658 | 7.2286 | 0.0658 | 0.6402 | 0.0146 | 0.1646 | 0.0329 | 3.3838 | 0.0000 | 0.0000 | 0.1280 | 17.5519 | 10.6855 | 0.2634 | 24.2 | <2.5 | 8.150633 | 0.093354 | 7.661551 | 0.395728 | 6.320000e+05 | % |
| 92 | Madagascar | 0.0000 | 19.0932 | 1.7454 | 0.0000 | 10.0681 | 0.3406 | 0.7450 | 1.2984 | 11.5581 | 0.0213 | 4.4274 | 0.2980 | 1.5113 | 0.3193 | 0.2554 | 0.9153 | 0.1916 | 0.0213 | 0.0000 | 0.2129 | 30.9068 | 15.8791 | 0.1916 | 4.5 | 44.4 | 0.068849 | 0.001015 | 0.065779 | 0.002055 | 2.769100e+07 | % |
| 93 | Malawi | 0.0000 | 18.8711 | 2.6263 | 0.0000 | 13.0891 | 0.2753 | 0.6672 | 1.3767 | 14.6458 | 0.0106 | 0.4024 | 0.2542 | 5.6232 | 0.7519 | 0.0529 | 1.3555 | 0.0318 | 0.0000 | 0.0000 | 0.2012 | 31.1236 | 8.4189 | 0.2224 | 4.7 | 17.5 | 0.140486 | 0.004375 | 0.059320 | 0.076790 | 1.913000e+07 | % |
| 94 | Malaysia | 0.0000 | 17.1723 | 1.4813 | 0.0000 | 2.2933 | 2.7596 | 1.8599 | 0.1756 | 9.8041 | 0.0713 | 1.2289 | 0.0329 | 1.7502 | 0.0658 | 0.6584 | 0.0329 | 0.0000 | 0.0000 | 0.0000 | 0.3731 | 32.8304 | 27.1740 | 0.2359 | 15.3 | 2.5 | 0.728230 | 0.002614 | 0.570361 | 0.155255 | 3.278100e+07 | % |
| 95 | Maldives | 0.0000 | 29.7398 | 4.8409 | 0.0000 | 4.5092 | 3.2756 | 8.4068 | 0.4665 | 5.8360 | 0.4561 | 7.3909 | 0.0000 | 1.3683 | 0.0518 | 1.1713 | 0.0622 | 1.7207 | 0.0000 | 0.0000 | 4.9756 | 20.2550 | 4.9549 | 0.5183 | 7.9 | 10.3 | 3.078743 | 0.009982 | 2.690573 | 0.378189 | 5.410000e+05 | % |
| 96 | Mali | 0.0000 | 17.4631 | 1.2195 | 0.0000 | 12.0873 | 0.1327 | 0.4065 | 0.2987 | 5.6745 | 0.0249 | 9.7146 | 0.3152 | 3.3765 | 0.5475 | 0.1244 | 0.1327 | 0.0332 | 0.0000 | 0.0000 | 1.3357 | 32.5369 | 14.1945 | 0.3816 | 7.1 | 6.3 | 0.040294 | 0.001669 | 0.029895 | 0.008730 | 2.025100e+07 | % |
| 97 | Malta | 0.0000 | 29.3856 | 6.6557 | 0.0000 | 4.8786 | 1.3878 | 1.3074 | 0.2666 | 10.6541 | 0.0169 | 9.3298 | 0.0508 | 1.4978 | 0.0804 | 0.0804 | 0.0296 | 2.6783 | 0.0000 | 0.0000 | 1.1720 | 20.6144 | 9.3975 | 0.5162 | 31.0 | <2.5 | 3.558621 | 0.053448 | 3.045211 | 0.459962 | 5.220000e+05 | % |
| 98 | Mauritania | 0.0000 | 17.4021 | 1.7485 | 0.0000 | 4.3092 | 0.4337 | 0.5369 | 0.0895 | 5.7479 | 0.0688 | 8.6460 | 0.2822 | 0.5025 | 0.3373 | 0.0000 | 0.0207 | 0.1652 | 0.0000 | 0.0000 | 0.0000 | 32.6014 | 26.9567 | 0.1514 | 11.3 | 10.4 | 0.361118 | 0.009140 | 0.343763 | 0.008215 | 4.650000e+06 | % |
| 99 | Mauritius | 0.0000 | 12.8934 | 1.4559 | 0.0000 | 3.2471 | 0.7355 | 1.0457 | 0.1501 | 6.7594 | 0.1001 | 2.8418 | 0.0550 | 1.5660 | 0.2502 | 0.3452 | 0.0250 | 0.9856 | 0.0000 | 0.0000 | 0.2702 | 37.1041 | 29.9945 | 0.1751 | 11.5 | 6.5 | 0.046166 | 0.000791 | 0.042688 | 0.002688 | 1.265000e+06 | % |
| 100 | Mexico | 0.0000 | 23.7741 | 3.2525 | 0.0000 | 6.4604 | 2.2807 | 0.4661 | 0.5305 | 13.2133 | 0.0050 | 4.3433 | 0.2182 | 1.1850 | 0.2380 | 0.2529 | 0.0248 | 0.2033 | 0.0000 | 0.0000 | 0.7437 | 26.2234 | 16.3419 | 0.2429 | 28.4 | 3.6 | 1.507199 | 0.129731 | 1.159805 | 0.217663 | 1.277920e+08 | % |
| 101 | Mongolia | 0.0000 | 36.9018 | 5.5153 | 0.0000 | 2.7445 | 0.5930 | 0.0315 | 0.0420 | 21.0223 | 0.0525 | 9.0628 | 0.6717 | 0.1259 | 0.0105 | 0.0052 | 0.0420 | 1.6373 | 0.0000 | 0.0000 | 0.0787 | 13.0982 | 8.2231 | 0.1417 | 19.6 | 13.4 | 0.060190 | 0.000060 | 0.043112 | 0.017019 | 3.361000e+06 | % |
| 102 | Montenegro | 0.0000 | 32.7855 | 3.8887 | 0.0000 | 3.7312 | 1.1566 | 0.3473 | 0.3688 | 14.7778 | 0.1003 | 12.5363 | 0.0752 | 0.5837 | 0.0788 | 0.0430 | 0.0251 | 2.5531 | 0.0000 | 0.0000 | 0.8415 | 17.2163 | 8.6332 | 0.2578 | 24.9 | <2.5 | 10.408199 | 0.134405 | 9.039871 | 1.233923 | 6.220000e+05 | % |
| 103 | Morocco | 0.0000 | 15.4227 | 3.5807 | 0.0000 | 7.1539 | 1.1517 | 1.2329 | 0.7014 | 6.9989 | 0.0074 | 2.2296 | 0.2289 | 0.7309 | 0.1477 | 0.3987 | 0.0960 | 0.1993 | 0.0000 | 0.0000 | 1.9048 | 34.5736 | 22.9457 | 0.2953 | 25.6 | 3.4 | 1.321111 | 0.023312 | 1.262575 | 0.035225 | 3.595200e+07 | % |
| 104 | Mozambique | 0.0000 | 11.5910 | 1.1197 | 0.0000 | 8.8101 | 0.5537 | 0.8490 | 0.1846 | 6.8783 | 0.0369 | 2.0795 | 0.1107 | 1.1936 | 0.7014 | 0.0246 | 0.8490 | 0.0984 | 0.0000 | 0.0000 | 0.8244 | 38.4152 | 25.5199 | 0.1600 | 6.0 | 27.9 | 0.141539 | 0.001447 | 0.085959 | 0.054133 | 3.116600e+07 | % |
| 105 | Myanmar | 0.0000 | 26.0470 | 3.0066 | 0.0000 | 3.8192 | 0.9251 | 2.5441 | 0.2750 | 18.1335 | 0.0375 | 1.2814 | 0.1563 | 5.1194 | 0.6938 | 0.5313 | 0.0625 | 0.0250 | 0.0000 | 0.0813 | 0.2688 | 23.9530 | 12.7453 | 0.2938 | 5.7 | 10.6 | NaN | NaN | NaN | NaN | 5.470400e+07 | % |
| 106 | Namibia | 0.0000 | 16.7373 | 3.3171 | 0.0000 | 6.8020 | 0.2718 | 0.6075 | 0.2798 | 7.7772 | 0.0959 | 4.5480 | 0.2078 | 0.8792 | 0.4316 | 0.4236 | 0.5915 | 0.5995 | 0.0000 | 0.0000 | 0.1199 | 33.2667 | 22.9078 | 0.1359 | 15.0 | 27.3 | 1.371271 | 0.014601 | 1.312830 | 0.043841 | 2.541000e+06 | % |
| 107 | Nepal | 0.0000 | 12.1853 | 3.3076 | 0.0000 | 7.1664 | 0.4361 | 0.1563 | 0.5513 | 2.7069 | 0.0082 | 5.4139 | 0.1563 | 0.4525 | 0.5513 | 1.1437 | 0.1975 | 0.2468 | 0.1892 | 0.0000 | 0.5019 | 37.8147 | 26.2136 | 0.6006 | 3.8 | 8.7 | 0.906141 | 0.006784 | 0.892826 | 0.006531 | 2.999600e+07 | % |
| 108 | Netherlands | 0.0000 | 30.1494 | 6.6484 | 0.0000 | 1.2702 | 1.4787 | 0.7451 | 0.3475 | 10.8567 | 0.0000 | 10.3934 | 0.0270 | 0.3591 | 0.0309 | 0.1235 | 0.0849 | 0.0541 | 0.0000 | 0.0000 | 1.4980 | 19.8525 | 15.8449 | 0.2355 | 23.1 | <2.5 | 5.815292 | 0.082830 | 0.076063 | 5.656398 | 1.746700e+07 | % |
| 109 | New Caledonia | 0.0000 | 22.2697 | 3.6599 | 0.0000 | 5.0979 | 1.0439 | 0.8385 | 0.2222 | 11.6086 | 0.2851 | 5.0476 | 0.0755 | 3.3036 | 0.0293 | 0.0629 | 0.0335 | 1.3961 | 0.0000 | 0.0000 | 0.2557 | 27.7282 | 16.8532 | 0.1887 | NaN | 7.1 | NaN | NaN | NaN | NaN | 2.950000e+05 | % |
| 110 | New Zealand | 0.0000 | 34.1264 | 13.9753 | 0.0000 | 1.3271 | 1.2111 | 0.6485 | 0.3049 | 13.9409 | 0.0000 | 4.2948 | 0.0601 | 2.0228 | 0.0773 | 0.0859 | 0.0687 | 0.0945 | 0.0000 | 0.0000 | 1.3357 | 15.8736 | 10.2689 | 0.2835 | 32.0 | <2.5 | 0.046521 | 0.000501 | 0.044696 | 0.001323 | 4.987000e+06 | % |
| 111 | Nicaragua | 0.0000 | 17.9935 | 2.3309 | 0.0000 | 9.2369 | 1.0080 | 0.4174 | 0.1339 | 7.6069 | 0.1102 | 6.5123 | 0.1102 | 1.9214 | 0.4646 | 0.0079 | 0.1024 | 0.4252 | 0.0000 | 0.0000 | 0.0315 | 32.0104 | 19.3952 | 0.1811 | 21.8 | 17 | 0.095497 | 0.002577 | 0.064054 | 0.028866 | 6.596000e+06 | % |
| 112 | Niger | 0.0000 | 10.9769 | 2.6573 | 0.0000 | 12.4360 | 0.0580 | 0.1353 | 0.2416 | 3.6332 | 0.0097 | 4.3193 | 0.1836 | 13.4216 | 1.4398 | 0.3479 | 0.0483 | 0.0290 | 0.0000 | 0.0000 | 0.0000 | 39.0279 | 10.5904 | 0.4445 | 4.7 | 16.5 | 0.019009 | 0.000682 | 0.016330 | 0.001997 | 2.418900e+07 | % |
| 113 | Nigeria | 0.0000 | 5.0182 | 0.8078 | 0.0000 | 7.1082 | 0.5755 | 0.5957 | 0.3433 | 2.4838 | 0.0101 | 0.4645 | 0.0909 | 4.3922 | 0.4241 | 0.4746 | 1.2621 | 0.0404 | 0.0000 | 0.0000 | 0.2322 | 44.9818 | 30.1494 | 0.5452 | 7.8 | 13.4 | 0.067547 | 0.000799 | 0.054602 | 0.012146 | 2.061400e+08 | % |
| 114 | North Macedonia | 0.0000 | 19.6420 | 7.1263 | 0.0000 | 1.9013 | 0.7305 | 0.2371 | 0.4112 | 6.5409 | 0.0435 | 4.8476 | 0.1500 | 2.0174 | 0.1355 | 0.4886 | 0.0774 | 1.7078 | 0.0000 | 0.0000 | 1.1708 | 30.3628 | 21.6642 | 0.7450 | 23.9 | 3.2 | 4.548029 | 0.140192 | 4.025721 | 0.382115 | 2.080000e+06 | % |
| 115 | Norway | 0.0000 | 27.2211 | 6.4445 | 0.0000 | 1.9601 | 1.0645 | 1.5545 | 0.4055 | 10.6992 | 0.3244 | 7.4043 | 0.0541 | 1.7032 | 0.0912 | 0.0473 | 0.0473 | 1.6796 | 0.0000 | 0.0000 | 0.8888 | 22.7806 | 15.4642 | 0.1656 | 25.0 | <2.5 | 1.200167 | 0.010804 | 0.334101 | 0.855263 | 5.387000e+06 | % |
| 116 | Oman | 0.0000 | 23.6146 | 2.3712 | 0.0000 | 3.7744 | 1.4422 | 0.9290 | 0.7926 | 9.0171 | 0.0325 | 9.6407 | 0.2144 | 1.1174 | 0.1689 | 0.7276 | 0.0390 | 1.0979 | 0.0000 | 0.0000 | 0.6107 | 26.3821 | 17.4495 | 0.5782 | 22.9 | 6.8 | 2.865288 | 0.032506 | 2.700318 | 0.132463 | 4.713000e+06 | % |
| 117 | Pakistan | 0.0000 | 24.8245 | 8.9701 | 0.0000 | 4.2124 | 0.6203 | 0.0818 | 0.1227 | 3.4967 | 0.0068 | 11.5125 | 0.1431 | 1.0906 | 0.2726 | 0.2249 | 0.0341 | 0.0204 | 0.0613 | 0.0000 | 0.1909 | 25.1789 | 18.8603 | 0.0750 | 7.8 | 20.3 | 0.250961 | 0.005416 | 0.230941 | 0.014604 | 2.209400e+08 | % |
| 118 | Panama | 0.0000 | 25.9557 | 9.1864 | 0.0000 | 3.8355 | 0.8991 | 0.8614 | 0.5722 | 9.1046 | 0.1320 | 5.7281 | 0.1823 | 1.4273 | 0.1509 | 0.0377 | 0.0566 | 1.0375 | 0.0000 | 0.0000 | 0.4339 | 24.0317 | 16.2412 | 0.1258 | 22.5 | 10 | 7.622321 | 0.127364 | 6.773850 | 0.721107 | 4.283000e+06 | % |
| 119 | Paraguay | 0.0000 | 19.8084 | 3.8811 | 0.0000 | 4.9807 | 1.5622 | 0.1742 | 0.3974 | 10.2335 | 0.0272 | 3.7069 | 0.2558 | 2.0576 | 0.2123 | 0.0218 | 0.5552 | 0.5334 | 0.0000 | 0.0000 | 0.0163 | 30.1889 | 21.2672 | 0.1198 | 19.0 | 10.7 | 1.896664 | 0.038691 | 1.562591 | 0.295382 | 7.255000e+06 | % |
| 120 | Peru | 0.0000 | 18.0402 | 1.1055 | 0.0000 | 5.5879 | 2.1206 | 1.9497 | 1.6382 | 6.8241 | 0.0302 | 5.6080 | 0.4322 | 2.5628 | 0.6030 | 0.0704 | 0.6834 | 0.4523 | 0.0000 | 0.0000 | 0.2312 | 31.9598 | 19.6482 | 0.4523 | 19.1 | 9.7 | 3.573742 | 0.127751 | 3.310514 | 0.135477 | 3.282400e+07 | % |
| 121 | Philippines | 0.0000 | 29.7607 | 7.3714 | 0.0000 | 3.4748 | 1.0544 | 1.6045 | 0.7243 | 18.8870 | 0.0275 | 0.5684 | 0.2751 | 2.2371 | 0.0550 | 0.0642 | 0.2200 | 0.3576 | 0.0000 | 0.0183 | 0.7701 | 20.2439 | 11.9281 | 0.3576 | 6.0 | 13.3 | 0.488699 | 0.010139 | 0.445757 | 0.032803 | 1.095810e+08 | % |
| 122 | Poland | 0.0000 | 32.7460 | 12.3719 | 0.0000 | 1.6183 | 0.7141 | 0.4851 | 0.2057 | 13.3072 | 0.0000 | 5.8600 | 0.0078 | 0.4967 | 0.0310 | 0.0427 | 0.1087 | 0.0737 | 0.0000 | 0.0000 | 0.4385 | 17.2540 | 13.9747 | 0.2639 | 25.6 | <2.5 | 4.028175 | 0.101632 | 3.392335 | 0.534208 | 3.836800e+07 | % |
| 123 | Portugal | 0.0000 | 26.4556 | 9.5983 | 0.0000 | 2.1808 | 0.7993 | 1.0267 | 0.2825 | 10.3459 | 0.0138 | 4.5442 | 0.1378 | 0.4203 | 0.0689 | 0.0413 | 0.0586 | 1.3540 | 0.0000 | 0.0000 | 0.7648 | 23.5444 | 18.0803 | 0.2825 | 23.2 | <2.5 | 7.429605 | 0.136070 | 5.846836 | 1.446699 | 1.025500e+07 | % |
| 124 | Republic of Moldova | 0.0000 | 26.5244 | 6.8551 | 0.0000 | 2.5570 | 1.5517 | 0.6921 | 0.2987 | 9.7764 | 0.0656 | 7.5326 | 0.1238 | 0.2841 | 0.0291 | 0.0146 | 0.0874 | 0.8305 | 0.0000 | 0.0000 | 0.1093 | 23.4720 | 18.8388 | 0.3570 | 20.1 | NaN | 4.646195 | 0.099859 | 4.333692 | 0.212645 | 3.535000e+06 | % |
| 125 | Romania | 0.0000 | 27.4359 | 6.8987 | 0.0000 | 2.5519 | 1.5914 | 0.1994 | 0.2930 | 7.9894 | 0.0366 | 10.6349 | 0.1221 | 0.5495 | 0.0407 | 0.4965 | 0.1099 | 0.8506 | 0.0000 | 0.0000 | 0.6797 | 22.5600 | 16.5120 | 0.4477 | 24.5 | <2.5 | 3.863328 | 0.097755 | 3.583358 | 0.182215 | 1.924100e+07 | % |
| 126 | Russian Federation | 0.0000 | 27.9360 | 7.2000 | 0.0000 | 1.6511 | 1.9603 | 0.9415 | 0.2138 | 10.8433 | 0.0091 | 6.8453 | 0.1455 | 0.7823 | 0.0546 | 0.0273 | 0.1410 | 0.4184 | 0.0000 | 0.0000 | 0.1274 | 22.0640 | 18.3753 | 0.2638 | 25.7 | <2.5 | 2.663104 | 0.051120 | 2.316142 | 0.295842 | 1.467330e+08 | % |
| 127 | Rwanda | 0.0000 | 11.0727 | 1.0364 | 0.0000 | 4.8545 | 0.1636 | 0.6364 | 9.6727 | 5.2182 | 0.0182 | 3.7818 | 0.2364 | 3.6545 | 2.6909 | 0.0545 | 2.1636 | 0.0545 | 0.0000 | 0.0000 | 0.0182 | 38.9091 | 15.5091 | 0.2545 | 4.8 | 36.8 | 0.126135 | 0.001675 | 0.093013 | 0.031447 | 1.295200e+07 | % |
| 128 | Saint Kitts and Nevis | 0.0000 | 24.3013 | 4.7370 | 0.0000 | 2.0602 | 0.5600 | 0.7296 | 0.3596 | 14.3547 | 0.1439 | 3.7916 | 0.1233 | 2.9028 | 0.1541 | 0.2055 | 0.0462 | 0.1798 | 0.0000 | 0.0000 | 0.5189 | 25.7039 | 19.0043 | 0.1233 | 23.1 | NaN | 0.074074 | 0.000000 | 0.066667 | 0.007407 | 5.400000e+04 | % |
| 129 | Saint Lucia | 0.0000 | 33.3454 | 3.8130 | 0.0000 | 1.6712 | 0.5249 | 1.5867 | 0.3741 | 22.8778 | 0.1629 | 4.3137 | 0.2353 | 2.4012 | 0.1810 | 0.4163 | 0.0965 | 0.9894 | 0.0000 | 0.0000 | 0.5551 | 16.6516 | 9.6531 | 0.1508 | 19.8 | NaN | 0.996154 | 0.009890 | 0.480769 | 0.505495 | 1.820000e+05 | % |
| 130 | Saint Vincent and the Grenadines | 0.0000 | 24.4653 | 1.0850 | 0.0000 | 4.3274 | 0.7589 | 0.7150 | 0.7526 | 17.5290 | 0.2258 | 4.2521 | 0.1254 | 0.6773 | 0.2759 | 1.2919 | 0.1756 | 1.7184 | 0.0000 | 0.0000 | 0.4516 | 25.5315 | 15.3904 | 0.2509 | 23.8 | 5.7 | 1.082883 | 0.002703 | 0.361261 | 0.718919 | 1.110000e+05 | % |
| 131 | Samoa | 0.0000 | 21.6806 | 4.7780 | 0.0036 | 1.5771 | 0.2227 | 1.8968 | 0.6287 | 13.2418 | 0.0683 | 1.4693 | 0.0683 | 16.8666 | 0.0000 | 0.1150 | 0.3341 | 0.2910 | 0.0000 | 0.0000 | 0.0611 | 28.3194 | 8.3345 | 0.0431 | 45.5 | 2.7 | 0.001000 | 0.000000 | 0.001000 | 0.000000 | 2.000000e+05 | % |
| 132 | Sao Tome and Principe | 0.0000 | 7.3284 | 0.6241 | 0.0000 | 2.9864 | 0.1074 | 1.4361 | 1.2013 | 4.1809 | 0.0537 | 0.9731 | 0.0134 | 20.7704 | 0.1342 | 0.0336 | 0.1544 | 0.0738 | 0.0000 | 0.0000 | 0.0268 | 42.6616 | 17.1666 | 0.0738 | 10.6 | 7 | 0.643333 | 0.008571 | 0.504762 | 0.130000 | 2.100000e+05 | % |
| 133 | Saudi Arabia | 0.0000 | 15.3954 | 2.6475 | 0.0000 | 5.2126 | 0.9019 | 0.4122 | 0.4219 | 6.9243 | 0.0873 | 4.4125 | 0.0970 | 0.6207 | 0.1794 | 0.4800 | 0.0291 | 1.2510 | 0.0000 | 0.0000 | 0.7128 | 34.6070 | 25.4182 | 0.1891 | 35.0 | 7.1 | 1.055795 | 0.018256 | 1.030898 | 0.006641 | 3.504100e+07 | % |
| 134 | Senegal | 0.0000 | 6.1040 | 0.7876 | 0.0000 | 5.7374 | 0.2580 | 0.7129 | 0.0815 | 3.2319 | 0.0068 | 0.9845 | 0.1222 | 3.9041 | 0.1222 | 0.1697 | 0.0543 | 0.2037 | 0.0000 | 0.0000 | 0.3870 | 43.9028 | 33.0391 | 0.1901 | 7.4 | 11.3 | 0.170145 | 0.004031 | 0.139107 | 0.027007 | 1.674400e+07 | % |
| 135 | Serbia | 0.0000 | 33.0354 | 4.0698 | 0.0000 | 2.1213 | 1.5195 | 0.3396 | 0.5780 | 18.1385 | 0.0060 | 8.7594 | 0.2145 | 1.1262 | 0.0775 | 0.0834 | 0.0596 | 1.5016 | 0.0000 | 0.0000 | 0.9355 | 16.9646 | 10.1061 | 0.3635 | 23.5 | 5.7 | 5.840908 | 0.059106 | 0.000000 | 5.781803 | 6.957000e+06 | % |
| 136 | Sierra Leone | 0.0000 | 5.9931 | 0.1678 | 0.0000 | 3.2063 | 0.2983 | 1.2117 | 0.2610 | 2.0412 | 0.0373 | 2.1996 | 0.0746 | 4.8560 | 0.4660 | 0.2889 | 0.4474 | 0.0746 | 0.0000 | 0.0000 | 0.0559 | 44.0022 | 34.0479 | 0.2703 | 7.5 | 25.6 | 0.047286 | 0.000990 | 0.030738 | 0.015557 | 7.977000e+06 | % |
| 137 | Slovakia | 0.0000 | 25.4930 | 14.9373 | 0.0000 | 2.0003 | 1.1183 | 0.2331 | 0.1386 | 5.8496 | 0.0095 | 3.2697 | 0.0851 | 0.7686 | 0.0221 | 0.0599 | 0.0410 | 0.7655 | 0.0000 | 0.0000 | 0.4253 | 24.5070 | 20.1474 | 0.1292 | 22.4 | 3.4 | 4.792640 | 0.094013 | 4.361424 | 0.337202 | 5.462000e+06 | % |
| 138 | Slovenia | 0.0000 | 26.6163 | 10.0008 | 0.0000 | 3.5771 | 1.1287 | 0.3693 | 0.4606 | 8.5899 | 0.0622 | 6.4155 | 0.1120 | 0.8714 | 0.0415 | 0.1784 | 0.0539 | 2.4110 | 0.0000 | 0.0000 | 1.5852 | 23.3878 | 13.8684 | 0.2697 | 22.5 | <2.5 | 8.235901 | 0.171755 | 7.312934 | 0.751213 | 2.103000e+06 | % |
| 139 | Solomon Islands | 0.0000 | 13.6649 | 3.4726 | 0.0000 | 3.0802 | 0.2943 | 2.5505 | 0.5690 | 6.5431 | 0.0981 | 0.7553 | 0.0490 | 16.5686 | 0.5199 | 0.1962 | 2.1778 | 0.9810 | 0.0000 | 0.0000 | 0.3139 | 36.3351 | 11.7520 | 0.0785 | 20.5 | 8.9 | 0.002378 | 0.000000 | 0.001399 | 0.000979 | 7.150000e+05 | % |
| 140 | South Africa | 0.0000 | 19.7743 | 0.8542 | 0.0000 | 6.4308 | 1.0982 | 0.2379 | 0.0854 | 14.1489 | 0.0000 | 3.1056 | 0.3295 | 1.1836 | 0.0427 | 0.1037 | 0.0549 | 0.2807 | 0.0000 | 0.0000 | 0.0915 | 30.2257 | 21.7877 | 0.1647 | 27.0 | 6.2 | 2.471490 | 0.077447 | 2.248100 | 0.145943 | 5.962800e+07 | % |
| 141 | Spain | 0.0000 | 19.5253 | 2.4641 | 0.0000 | 1.0780 | 1.2521 | 1.0814 | 0.3750 | 9.2772 | 0.0000 | 5.3601 | 0.0937 | 1.0513 | 0.0971 | 0.0134 | 0.0469 | 0.4955 | 0.0000 | 0.0000 | 1.3626 | 30.4731 | 25.6922 | 0.2611 | 27.1 | <2.5 | 6.176110 | 0.128867 | 0.315684 | 5.731559 | 4.763500e+07 | % |
| 142 | Sri Lanka | 0.0000 | 10.1348 | 0.3195 | 0.0000 | 2.7159 | 1.1682 | 2.2766 | 0.5791 | 2.0270 | 0.0100 | 4.2336 | 0.0999 | 27.1892 | 0.3794 | 1.4279 | 0.0899 | 0.1198 | 0.0000 | 0.0100 | 0.4194 | 39.8602 | 6.7000 | 0.2396 | 5.4 | 9 | 0.312604 | 0.001600 | 0.285335 | 0.025669 | 2.193700e+07 | % |
| 143 | Sudan | 0.0000 | 20.1511 | 1.7092 | 0.0000 | 5.6998 | 0.2347 | 0.0587 | 0.3961 | 7.0789 | 0.0073 | 10.8055 | 0.2641 | 3.7265 | 0.4108 | 0.1174 | 0.0587 | 0.0587 | 0.0000 | 0.0000 | 0.0000 | 29.8489 | 19.0214 | 0.3521 | 7.4 | 20.1 | 0.067582 | 0.004176 | 0.049702 | 0.013704 | 4.384900e+07 | % |
| 144 | Suriname | 0.0000 | 14.8751 | 0.7849 | 0.0000 | 3.1593 | 0.9601 | 0.7720 | 0.2335 | 10.6390 | 0.1557 | 1.6867 | 0.0324 | 3.1139 | 0.0649 | 0.0584 | 0.1103 | 0.8823 | 0.0000 | 0.0000 | 0.1557 | 35.1281 | 26.9089 | 0.2789 | 26.5 | 8.5 | 1.429752 | 0.026446 | 1.318017 | 0.085289 | 6.050000e+05 | % |
| 145 | Sweden | 0.0000 | 28.4111 | 9.7148 | 0.0000 | 1.9481 | 1.3741 | 0.8778 | 0.3556 | 8.8481 | 0.0481 | 7.5926 | 0.0074 | 0.9519 | 0.0296 | 0.1111 | 0.0481 | 0.2333 | 0.0000 | 0.0000 | 0.9704 | 21.5852 | 16.6630 | 0.2296 | 22.1 | <2.5 | 5.666975 | 0.116749 | 0.000000 | 5.550226 | 1.037700e+07 | % |
| 146 | Switzerland | 0.0000 | 28.1054 | 6.2293 | 0.0000 | 1.1241 | 0.9300 | 0.4048 | 0.3379 | 12.0906 | 0.0000 | 8.3804 | 0.0703 | 0.5286 | 0.0268 | 0.0836 | 0.0368 | 0.1740 | 0.0000 | 0.0000 | 1.9772 | 21.8962 | 17.3898 | 0.2141 | 21.2 | <2.5 | 6.160215 | 0.111258 | 3.678480 | 2.370477 | 8.634000e+06 | % |
| 147 | Taiwan* | 0.0000 | 19.3217 | 2.6952 | 0.0000 | 1.1629 | 1.4818 | 0.4667 | 0.2956 | 13.2817 | 0.0194 | 1.3223 | 0.0700 | 2.8197 | 0.0506 | 0.1050 | 0.0194 | 0.4823 | 0.0000 | 0.0000 | 0.6145 | 30.6783 | 24.8016 | 0.3111 | NaN | 3.5 | 0.003914 | 0.000038 | 0.003571 | 0.000305 | 2.361000e+07 | % |
| 148 | Tajikistan | 0.0000 | 12.6827 | 0.0348 | 0.0000 | 10.2035 | 0.5741 | 0.0174 | 0.3566 | 7.1590 | 0.0348 | 4.6799 | 0.2175 | 1.2700 | 0.1131 | 0.0174 | 0.0783 | 1.1308 | 0.0000 | 0.0000 | 0.4175 | 37.3173 | 22.7557 | 0.9395 | 12.6 | NaN | 0.141139 | 0.000955 | 0.140185 | 0.000000 | 9.429000e+06 | % |
| 149 | Thailand | 0.0000 | 19.5718 | 1.6660 | 0.0000 | 2.5380 | 2.8961 | 1.7984 | 0.5060 | 11.6621 | 0.0078 | 1.4636 | 0.0934 | 4.6166 | 0.1012 | 1.7594 | 0.0701 | 0.1246 | 0.0000 | 0.0000 | 0.2647 | 30.4165 | 20.2336 | 0.2102 | 10.8 | 7.8 | 0.035126 | 0.000119 | 0.025464 | 0.009544 | 6.653400e+07 | % |
| 150 | Timor-Leste | 0.0000 | 17.8988 | 2.0345 | 0.0000 | 10.2168 | 0.2446 | 0.7893 | 1.3007 | 14.5525 | 0.1112 | 0.1779 | 0.0889 | 3.5353 | 0.2779 | 0.1445 | 0.1779 | 0.2001 | 0.0000 | 0.0000 | 0.0111 | 32.1067 | 15.9644 | 0.1668 | 2.9 | 24.9 | 0.006070 | 0.000000 | 0.004628 | 0.001442 | 1.318000e+06 | % |
| 151 | Togo | 0.0000 | 5.3063 | 0.5351 | 0.0000 | 8.9093 | 0.1962 | 0.5708 | 0.0624 | 3.3889 | 0.0803 | 0.5440 | 0.0713 | 2.9608 | 0.8918 | 0.2230 | 0.6064 | 0.1694 | 0.0000 | 0.0000 | 0.0000 | 44.6892 | 30.6430 | 0.1516 | 7.1 | 16.1 | 0.065660 | 0.000954 | 0.054777 | 0.009929 | 8.279000e+06 | % |
| 152 | Trinidad and Tobago | 0.0000 | 23.3455 | 5.3472 | 0.0000 | 2.5134 | 0.6185 | 0.7816 | 0.3205 | 11.3860 | 0.1012 | 5.1279 | 0.0843 | 3.1993 | 0.3430 | 0.4386 | 0.0843 | 0.4386 | 0.0000 | 0.0000 | 0.5960 | 26.6573 | 18.4369 | 0.1799 | 19.7 | 5.5 | 0.556026 | 0.009861 | 0.529949 | 0.016216 | 1.369000e+06 | % |
| 153 | Tunisia | 0.0000 | 12.7886 | 2.6543 | 0.0000 | 3.2543 | 0.9255 | 0.5085 | 0.4068 | 4.0323 | 0.0102 | 4.5764 | 0.0915 | 1.4085 | 0.2034 | 0.3407 | 0.0407 | 0.3000 | 0.0000 | 0.0000 | 2.3289 | 37.2114 | 28.1552 | 0.7627 | 27.3 | 4.3 | 1.817216 | 0.060205 | 1.453304 | 0.303707 | 1.189600e+07 | % |
| 154 | Turkey | 0.0000 | 13.6766 | 2.9392 | 0.0000 | 2.0428 | 0.8250 | 0.1428 | 0.3292 | 3.8475 | 0.0079 | 5.8586 | 0.0674 | 1.7453 | 0.3808 | 0.3729 | 0.0516 | 0.0912 | 0.0000 | 0.0000 | 2.8162 | 36.3175 | 27.8172 | 0.6703 | 32.2 | <2.5 | 3.015138 | 0.031868 | 2.881050 | 0.102220 | 8.373700e+07 | % |
| 155 | Turkmenistan | 0.0000 | 32.6886 | 6.4856 | 0.0000 | 2.9938 | 1.1060 | 0.1274 | 0.3069 | 17.4764 | 0.0347 | 7.4411 | 0.0521 | 0.3938 | 0.0405 | 0.0058 | 0.0521 | 1.0829 | 0.0000 | 0.0000 | 0.1969 | 17.3085 | 11.7610 | 0.4459 | 17.5 | 5.4 | NaN | NaN | NaN | NaN | 6.031000e+06 | % |
| 156 | Uganda | 0.0000 | 12.3139 | 0.9627 | 0.0000 | 3.4479 | 0.2239 | 0.8620 | 0.7164 | 6.1010 | 0.0112 | 4.0188 | 0.1343 | 6.5599 | 1.0411 | 0.0336 | 0.5709 | 0.1008 | 0.0000 | 0.0000 | 0.0000 | 37.6917 | 25.0532 | 0.1567 | 4.1 | 41 | 0.087058 | 0.000715 | 0.031370 | 0.054973 | 4.574100e+07 | % |
| 157 | Ukraine | 0.0000 | 26.9100 | 5.4940 | 0.0000 | 3.0837 | 2.4481 | 0.5160 | 0.3084 | 9.6350 | 0.0063 | 8.6910 | 0.1196 | 0.1007 | 0.0629 | 0.0378 | 0.2266 | 0.4972 | 0.0000 | 0.0000 | 0.7867 | 23.0900 | 17.4638 | 0.5223 | 26.1 | 3.5 | 3.075923 | 0.059206 | 2.653382 | 0.363335 | 4.177800e+07 | % |
| 158 | United Arab Emirates | 0.0000 | 21.4437 | 4.0036 | 0.0000 | 3.0418 | 1.1407 | 0.8108 | 0.6766 | 9.4610 | 0.1006 | 5.8600 | 0.1677 | 3.2040 | 1.0624 | 1.1295 | 0.0168 | 0.1454 | 0.0000 | 0.0000 | 3.8246 | 28.5563 | 14.9240 | 0.4306 | 29.9 | 2.6 | 3.307445 | 0.009348 | 3.079168 | 0.218930 | 9.778000e+06 | % |
| 159 | United Kingdom | 0.0000 | 25.8633 | 4.2615 | 0.0000 | 1.4678 | 1.0778 | 0.5176 | 0.4219 | 12.5789 | 0.0780 | 7.3530 | 0.0745 | 1.1664 | 0.0638 | 0.1276 | 0.0851 | 1.4642 | 0.0000 | 0.0000 | 0.7020 | 24.1332 | 18.3507 | 0.2127 | 29.5 | <2.5 | 5.868483 | 0.167220 | 0.015161 | 5.686102 | 6.716000e+07 | % |
| 160 | United Republic of Tanzania | 0.0000 | 7.5907 | 1.5442 | 0.0000 | 4.2140 | 0.0744 | 0.4558 | 0.2698 | 3.0140 | 0.0000 | 2.5023 | 0.0000 | 8.3628 | 1.0233 | 0.1302 | 0.7163 | 0.0279 | 0.0000 | 0.0000 | 0.3628 | 42.4093 | 27.0605 | 0.2419 | 7.1 | 30.7 | 0.000852 | 0.000035 | 0.000306 | 0.000511 | 5.973400e+07 | % |
| 161 | United States of America | 0.0000 | 21.2045 | 3.3013 | 0.0000 | 1.2829 | 1.2500 | 0.3887 | 0.4426 | 9.4166 | 0.0000 | 6.8359 | 0.0090 | 1.7464 | 0.0449 | 0.0867 | 0.0478 | 0.3977 | 0.0000 | 0.0000 | 0.9420 | 28.7970 | 23.6117 | 0.1944 | 37.3 | <2.5 | 8.159922 | 0.140103 | 0.000000 | 8.019819 | 3.298780e+08 | % |
| 162 | Uruguay | 0.0000 | 25.5069 | 3.4811 | 0.0000 | 2.5698 | 1.2804 | 0.3281 | 0.1777 | 12.2841 | 0.0456 | 8.0603 | 0.0729 | 1.5127 | 0.0729 | 0.0319 | 0.1002 | 0.7564 | 0.0000 | 0.0000 | 0.1367 | 24.4908 | 18.8819 | 0.2096 | 28.9 | <2.5 | 1.269102 | 0.013622 | 1.089465 | 0.166015 | 3.531000e+06 | % |
| 163 | Uzbekistan | 0.0000 | 25.9903 | 2.4884 | 0.0000 | 2.7168 | 1.0639 | 0.0962 | 0.5830 | 10.3624 | 0.0120 | 11.8050 | 0.1743 | 0.3366 | 0.0000 | 0.0180 | 0.0902 | 0.1683 | 0.0000 | 0.0000 | 0.7754 | 24.0067 | 18.4589 | 0.8535 | 15.3 | 6.3 | 0.231302 | 0.001817 | 0.226751 | 0.002733 | 3.417400e+07 | % |
| 164 | Vanuatu | 0.0000 | 14.9179 | 1.9531 | 0.0000 | 4.1249 | 0.3509 | 1.4343 | 0.3052 | 9.9334 | 0.0254 | 1.1495 | 0.0966 | 23.1779 | 0.0000 | 0.1068 | 0.4578 | 0.2187 | 0.0000 | 0.0000 | 0.0356 | 35.0847 | 6.4849 | 0.1424 | 23.5 | 7.2 | 0.000312 | 0.000000 | 0.000312 | 0.000000 | 3.210000e+05 | % |
| 165 | Venezuela (Bolivarian Republic of) | 0.0000 | 16.3261 | 2.2673 | 0.0000 | 2.5449 | 0.6555 | 0.5707 | 0.9640 | 7.0949 | 0.0077 | 5.5217 | 0.2082 | 0.1003 | 0.1157 | 0.0000 | 0.1311 | 0.0848 | 0.0000 | 0.0000 | 0.0154 | 33.6855 | 29.5211 | 0.1851 | 25.2 | 21.2 | 0.452585 | 0.004287 | 0.424399 | 0.023899 | 2.864500e+07 | % |
| 166 | Vietnam | 0.0000 | 33.2484 | 3.8238 | 0.0000 | 3.7155 | 0.7839 | 1.1217 | 0.4079 | 26.4292 | 0.0064 | 0.7520 | 0.3378 | 4.2891 | 0.0765 | 0.6309 | 0.0701 | 0.0829 | 0.0382 | 0.0000 | 1.1726 | 16.7548 | 5.6211 | 0.6373 | 2.1 | 9.3 | 0.002063 | 0.000036 | 0.001526 | 0.000501 | 9.620900e+07 | % |
| 167 | Yemen | 0.0000 | 12.5401 | 2.0131 | 0.0000 | 11.5271 | 0.5514 | 0.3847 | 0.2564 | 8.0010 | 0.0256 | 1.3463 | 0.2436 | 0.7565 | 0.5001 | 0.1026 | 0.0513 | 0.3718 | 0.0000 | 0.0000 | 0.0769 | 37.4535 | 23.6312 | 0.1667 | 14.1 | 38.9 | 0.007131 | 0.002062 | 0.004788 | 0.000282 | 2.982600e+07 | % |
| 168 | Zambia | 0.0783 | 9.6005 | 1.6113 | 0.0000 | 14.3225 | 0.6266 | 1.0070 | 0.1343 | 4.9010 | 0.0224 | 1.2756 | 0.1790 | 9.8915 | 0.0783 | 0.1567 | 0.2014 | 0.0671 | 0.0000 | 0.0000 | 0.0112 | 40.3939 | 15.2848 | 0.1567 | 6.5 | 46.7 | 0.334133 | 0.004564 | 0.290524 | 0.039045 | 1.838400e+07 | % |
| 169 | Zimbabwe | 0.0000 | 10.3796 | 2.9543 | 0.0000 | 9.7922 | 0.3682 | 0.2455 | 0.0614 | 4.5674 | 0.0175 | 2.1040 | 0.1315 | 1.9462 | 0.1140 | 0.0526 | 0.0877 | 0.1052 | 0.0000 | 0.0000 | 0.4296 | 39.6248 | 26.9396 | 0.0789 | 12.3 | 51.3 | 0.232033 | 0.008854 | 0.190964 | 0.032214 | 1.486300e+07 | % |
Food Supply Quantity Dataset
# Read the csv file on Covid 19 Data in the United States
covid_food_df = pd.read_csv("Food_Supply_Quantity_kg_Data.csv")
# Order all the Countries in the 'Country' column by alphabetical order
covid_food_df = covid_food_df.sort_values('Country', ascending = True)
# Print all the columns of the dataset
pd.set_option('display.max_columns', None)
# Print all the rows of the dataset
pd.set_option('display.max_rows', None)
# Print out dataset
covid_food_df
| Country | Alcoholic Beverages | Animal fats | Animal Products | Aquatic Products, Other | Cereals - Excluding Beer | Eggs | Fish, Seafood | Fruits - Excluding Wine | Meat | Milk - Excluding Butter | Miscellaneous | Offals | Oilcrops | Pulses | Spices | Starchy Roots | Stimulants | Sugar & Sweeteners | Sugar Crops | Treenuts | Vegetable Oils | Vegetables | Vegetal Products | Obesity | Undernourished | Confirmed | Deaths | Recovered | Active | Population | Unit (all except Population) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | 0.0014 | 0.1973 | 9.4341 | 0.0000 | 24.8097 | 0.2099 | 0.0350 | 5.3495 | 1.2020 | 7.5828 | 0.0728 | 0.2057 | 0.0700 | 0.2953 | 0.0574 | 0.8802 | 0.3078 | 1.3489 | 0.0000 | 0.0770 | 0.5345 | 6.7642 | 40.5645 | 4.5 | 29.8 | 0.142134 | 0.006186 | 0.123374 | 0.012574 | 3.892800e+07 | % |
| 1 | Albania | 1.6719 | 0.1357 | 18.7684 | 0.0000 | 5.7817 | 0.5815 | 0.2126 | 6.7861 | 1.8845 | 15.7213 | 0.1123 | 0.2324 | 0.9377 | 0.2380 | 0.0008 | 1.8096 | 0.1055 | 1.5367 | 0.0000 | 0.1515 | 0.3261 | 11.7753 | 31.2304 | 22.3 | 6.2 | 2.967301 | 0.050951 | 1.792636 | 1.123714 | 2.838000e+06 | % |
| 2 | Algeria | 0.2711 | 0.0282 | 9.6334 | 0.0000 | 13.6816 | 0.5277 | 0.2416 | 6.3801 | 1.1305 | 7.6189 | 0.1671 | 0.0870 | 0.3493 | 0.4783 | 0.0557 | 4.1340 | 0.2216 | 1.8342 | 0.0000 | 0.1152 | 1.0310 | 11.6484 | 40.3651 | 26.6 | 3.9 | 0.244897 | 0.006558 | 0.167572 | 0.070767 | 4.435700e+07 | % |
| 3 | Angola | 5.8087 | 0.0560 | 4.9278 | 0.0000 | 9.1085 | 0.0587 | 1.7707 | 6.0005 | 2.0571 | 0.8311 | 0.1165 | 0.1550 | 0.4186 | 0.6507 | 0.0009 | 18.1102 | 0.0508 | 1.8495 | 0.0000 | 0.0061 | 0.6463 | 2.3041 | 45.0722 | 6.8 | 25 | 0.061687 | 0.001461 | 0.056808 | 0.003419 | 3.252200e+07 | % |
| 4 | Antigua and Barbuda | 3.5764 | 0.0087 | 16.6613 | 0.0000 | 5.9960 | 0.2274 | 4.1489 | 10.7451 | 5.6888 | 6.3663 | 0.7139 | 0.2219 | 0.2172 | 0.1840 | 0.1524 | 1.4522 | 0.1564 | 3.8749 | 0.0000 | 0.0253 | 0.8102 | 5.4495 | 33.3233 | 19.1 | NaN | 0.293878 | 0.007143 | 0.190816 | 0.095918 | 9.800000e+04 | % |
| 5 | Argentina | 4.2672 | 0.2234 | 19.3454 | 0.0000 | 8.4102 | 0.9979 | 0.4693 | 6.0435 | 7.0421 | 10.2328 | 0.0000 | 0.3779 | 0.0116 | 0.0528 | 0.0122 | 3.0420 | 0.4378 | 3.0536 | 0.0000 | 0.0200 | 0.9541 | 4.3503 | 30.6559 | 28.5 | 4.6 | 4.356147 | 0.108227 | 3.905192 | 0.342729 | 4.537700e+07 | % |
| 6 | Armenia | 0.4014 | 0.1833 | 13.5640 | 0.0000 | 7.2982 | 0.5783 | 0.2896 | 6.0989 | 2.2675 | 9.9407 | 0.2355 | 0.3040 | 0.0899 | 0.1441 | 0.0055 | 2.0359 | 0.1863 | 2.6579 | 0.0000 | 0.1108 | 0.4705 | 16.7019 | 36.4358 | 20.9 | 4.3 | 5.681225 | 0.105345 | 5.398410 | 0.177470 | 2.956000e+06 | % |
| 7 | Australia | 5.5436 | 0.3143 | 21.4175 | 0.0033 | 5.4979 | 0.4428 | 1.4264 | 4.1883 | 6.7049 | 12.1018 | 0.5293 | 0.4240 | 0.3694 | 0.0546 | 0.0458 | 2.7884 | 0.2928 | 2.5364 | 0.0000 | 0.3176 | 1.2798 | 5.1406 | 28.5806 | 30.4 | <2.5 | 0.112025 | 0.003530 | 0.101289 | 0.007207 | 2.575400e+07 | % |
| 8 | Austria | 7.0215 | 0.8555 | 19.5654 | 0.0011 | 6.2116 | 0.7884 | 0.7562 | 4.6069 | 4.6810 | 12.3776 | 0.0005 | 0.1052 | 0.2683 | 0.0456 | 0.0494 | 3.0548 | 0.4106 | 2.6094 | 0.0000 | 0.2367 | 0.8109 | 5.1098 | 30.4338 | 21.9 | <2.5 | 4.739982 | 0.089679 | 4.496870 | 0.153433 | 8.914000e+06 | % |
| 9 | Azerbaijan | 3.5969 | 0.2544 | 11.6416 | 0.0000 | 13.0898 | 0.5593 | 0.2020 | 4.7988 | 2.1513 | 8.3212 | 0.0145 | 0.1534 | 0.0145 | 0.0347 | 0.0044 | 4.7041 | 0.0587 | 1.5523 | 0.0000 | 0.1906 | 0.2235 | 10.0755 | 38.3584 | 19.9 | <2.5 | 2.285536 | 0.031223 | 2.225574 | 0.028740 | 1.010800e+07 | % |
| 10 | Bahamas | 2.0175 | 0.0062 | 11.4718 | 0.0009 | 3.7246 | 0.6250 | 2.4144 | 13.2718 | 5.9269 | 2.1757 | 2.9316 | 0.3218 | 0.6993 | 0.0504 | 0.0884 | 1.0547 | 0.1556 | 6.2151 | 0.0000 | 0.0495 | 0.5110 | 7.7649 | 38.5229 | 32.1 | NaN | 2.100763 | 0.044784 | 1.735115 | 0.320865 | 3.930000e+05 | % |
| 11 | Bangladesh | 0.0031 | 0.0156 | 5.1926 | 0.0000 | 29.8045 | 0.2957 | 2.5221 | 2.8655 | 0.4191 | 1.8778 | 0.0197 | 0.0633 | 0.0820 | 0.7065 | 0.3195 | 5.3378 | 0.0529 | 0.9285 | 0.1950 | 0.0934 | 0.7615 | 3.6405 | 44.8033 | 3.4 | 14.7 | 0.316691 | 0.004823 | 0.284344 | 0.027524 | 1.698090e+08 | % |
| 12 | Barbados | 3.5650 | 0.2212 | 12.4976 | 0.0000 | 8.0666 | 0.7792 | 3.2750 | 5.8723 | 5.8477 | 2.2041 | 3.3020 | 0.1704 | 0.8734 | 0.6391 | 0.1565 | 4.0812 | 0.1721 | 4.3344 | 0.0000 | 0.0852 | 0.8677 | 5.4725 | 37.5167 | 24.8 | 3.9 | 0.583972 | 0.006272 | 0.470035 | 0.107666 | 2.870000e+05 | % |
| 13 | Belarus | 3.7563 | 0.3353 | 12.7089 | 0.0000 | 6.2814 | 0.7565 | 0.8372 | 3.5665 | 4.1893 | 6.2104 | 0.5035 | 0.3795 | 0.0720 | 0.0010 | 0.0067 | 9.1691 | 0.1142 | 4.0155 | 0.0000 | 0.1399 | 0.8804 | 8.7859 | 37.2904 | 26.6 | <2.5 | 2.740896 | 0.018912 | 2.612704 | 0.109280 | 9.375000e+06 | % |
| 14 | Belgium | 5.3730 | 0.8559 | 17.7279 | 0.0010 | 6.6704 | 0.6487 | 1.1325 | 4.1623 | 3.2370 | 11.6344 | 0.0000 | 0.2185 | 0.0965 | 0.1132 | 0.0409 | 4.4157 | 0.2461 | 3.6514 | 0.0000 | 0.1309 | 0.5640 | 6.8161 | 32.2637 | 24.5 | <2.5 | 6.286322 | 0.185428 | 0.000000 | 6.100894 | 1.151500e+07 | % |
| 15 | Belize | 3.3803 | 0.0832 | 8.6856 | 0.0000 | 11.0700 | 0.3923 | 1.0325 | 12.6094 | 3.4890 | 3.6317 | 1.7653 | 0.0569 | 0.3940 | 1.1259 | 0.0195 | 1.0614 | 0.0849 | 3.9798 | 0.0000 | 0.0340 | 1.0198 | 4.7721 | 41.3122 | 22.4 | 7.5 | 2.872792 | 0.073031 | 2.739618 | 0.060143 | 4.190000e+05 | % |
| 16 | Benin | 5.9019 | 0.0132 | 3.7504 | 0.0000 | 9.6230 | 0.0711 | 1.2267 | 2.9523 | 1.4107 | 0.9458 | 0.1450 | 0.0829 | 0.6628 | 0.7367 | 0.4461 | 19.7771 | 0.0042 | 0.6635 | 0.0000 | 0.4028 | 0.7381 | 4.1964 | 46.2493 | 8.2 | 10.1 | 0.034344 | 0.000450 | 0.029183 | 0.004710 | 1.220900e+07 | % |
| 17 | Bolivia | 2.8956 | 0.0889 | 11.7799 | 0.0000 | 12.3079 | 0.6626 | 0.2307 | 7.5088 | 6.4098 | 4.2873 | 0.1661 | 0.1006 | 0.1374 | 0.3654 | 0.0422 | 7.7315 | 0.2083 | 2.5724 | 0.0000 | 0.7084 | 0.3573 | 3.2224 | 38.2165 | 18.7 | 17.1 | 1.952446 | 0.092435 | 1.438614 | 0.421396 | 1.163300e+07 | % |
| 18 | Bosnia and Herzegovina | 4.7876 | 0.0585 | 12.4319 | 0.0000 | 8.7152 | 0.2576 | 0.2465 | 4.6409 | 1.8165 | 9.9443 | 0.4860 | 0.1089 | 0.0963 | 0.2718 | 0.3922 | 4.0495 | 0.3504 | 1.6391 | 0.0000 | 0.0822 | 0.4205 | 11.6394 | 37.5645 | 19.4 | <2.5 | 3.762085 | 0.145535 | 2.960317 | 0.656233 | 3.281000e+06 | % |
| 19 | Botswana | 4.2717 | 0.3402 | 14.4486 | 0.0000 | 11.4320 | 0.1402 | 0.3551 | 2.8465 | 2.2840 | 11.0217 | 1.6092 | 0.3056 | 0.2019 | 0.2729 | 0.1626 | 4.7614 | 0.1336 | 4.7857 | 0.0009 | 0.0150 | 1.0065 | 4.0558 | 35.5491 | 16.1 | 26.4 | 1.014372 | 0.007035 | 0.844799 | 0.162538 | 2.317000e+06 | % |
| 20 | Brazil | 4.3629 | 0.2803 | 17.3470 | 0.0000 | 8.4292 | 0.5042 | 0.5899 | 6.0936 | 6.4784 | 9.3416 | 0.0006 | 0.1512 | 0.7093 | 0.9254 | 0.0071 | 3.3959 | 0.3024 | 2.7755 | 1.0111 | 0.0513 | 1.2823 | 3.3070 | 32.6537 | 22.3 | <2.5 | 4.460165 | 0.108603 | 3.979469 | 0.372094 | 2.118120e+08 | % |
| 21 | Bulgaria | 7.0834 | 0.2488 | 17.2483 | 0.0103 | 8.8750 | 0.5924 | 0.4845 | 3.9812 | 4.0073 | 11.5992 | 0.2254 | 0.3058 | 0.3450 | 0.1512 | 0.6048 | 1.8576 | 0.2818 | 2.3627 | 0.0000 | 0.0797 | 0.7085 | 6.2037 | 32.7435 | 27.4 | 3.6 | 3.227256 | 0.134416 | 2.788956 | 0.303883 | 6.927000e+06 | % |
| 22 | Burkina Faso | 15.3706 | 0.0231 | 4.6611 | 0.0000 | 21.2005 | 0.2406 | 0.7077 | 0.6596 | 1.2029 | 2.3195 | 0.1373 | 0.1664 | 1.8664 | 1.4294 | 0.0321 | 0.9723 | 0.0211 | 1.1287 | 0.0000 | 0.0712 | 0.9503 | 1.5036 | 45.3359 | 4.5 | 20 | 0.053710 | 0.000641 | 0.048031 | 0.005038 | 2.090300e+07 | % |
| 23 | Cabo Verde | 3.9814 | 0.0363 | 9.7559 | 0.0029 | 14.7961 | 0.4602 | 1.0598 | 4.6402 | 3.0725 | 5.0192 | 1.1190 | 0.1050 | 0.5394 | 1.1390 | 0.2731 | 3.8430 | 0.1671 | 2.1396 | 0.0000 | 0.0258 | 0.9471 | 6.6338 | 40.2437 | 10.6 | 12.6 | 2.586331 | 0.024281 | 2.461151 | 0.100899 | 5.560000e+05 | % |
| 24 | Cambodia | 4.5783 | 0.0377 | 6.0800 | 0.0000 | 24.8906 | 0.1310 | 4.2369 | 2.3184 | 1.2247 | 0.3285 | 0.4853 | 0.1211 | 0.7900 | 0.4903 | 0.0784 | 3.0519 | 0.1260 | 2.9923 | 0.8367 | 0.0238 | 0.2511 | 3.0072 | 43.9195 | 3.5 | 16.4 | 0.003059 | 0.000000 | 0.002930 | 0.000129 | 1.549700e+07 | % |
| 25 | Cameroon | 5.1560 | 0.0146 | 2.9330 | 0.0000 | 10.3112 | 0.0256 | 1.3206 | 7.2151 | 0.8760 | 0.6289 | 0.0717 | 0.0673 | 0.8658 | 1.4734 | 0.2830 | 11.3883 | 0.0234 | 0.6479 | 0.0000 | 0.1324 | 0.6398 | 8.8590 | 47.0670 | 9.5 | 9.9 | 0.118031 | 0.001782 | 0.110914 | 0.005335 | 2.659800e+07 | % |
| 26 | Canada | 4.8441 | 0.8084 | 16.0365 | 0.0060 | 6.4236 | 0.7668 | 1.2148 | 5.0692 | 4.4707 | 8.7596 | 0.6071 | 0.0097 | 0.4334 | 0.6304 | 0.0574 | 3.4940 | 0.4053 | 5.0237 | 0.0000 | 0.1439 | 1.3441 | 5.4961 | 33.9551 | 31.3 | <2.5 | 2.109961 | 0.054203 | 1.909848 | NaN | 3.819000e+07 | % |
| 27 | Central African Republic | 1.7435 | 0.1228 | 6.9032 | 0.0000 | 3.8844 | 0.0510 | 0.8041 | 4.5543 | 3.7346 | 1.7581 | 0.0614 | 0.4338 | 0.6970 | 0.8936 | 0.0031 | 27.7128 | 0.2008 | 0.7022 | 0.0000 | 0.0000 | 0.7240 | 1.9214 | 43.0942 | 6.3 | 59.6 | 0.103292 | 0.001304 | 0.101139 | 0.000849 | 4.830000e+06 | % |
| 28 | Chad | 0.8297 | 0.2023 | 12.2804 | 0.0000 | 21.6017 | 0.0495 | 1.0451 | 1.0669 | 3.8543 | 5.9037 | 0.0640 | 1.2256 | 3.0304 | 1.4133 | 0.0000 | 6.9910 | 0.0087 | 1.3449 | 0.0000 | 0.0000 | 0.4556 | 0.9141 | 37.7189 | 4.8 | 37.5 | 0.020578 | 0.000741 | 0.016881 | 0.002957 | 1.687700e+07 | % |
| 29 | Chile | 4.9690 | 0.1782 | 15.0394 | 0.0155 | 10.8579 | 0.7757 | 0.8711 | 3.9109 | 6.1492 | 6.9966 | 0.3024 | 0.0525 | 0.2588 | 0.2677 | 0.0133 | 4.7183 | 0.1353 | 3.5582 | 0.0000 | 0.1190 | 0.5435 | 5.3092 | 34.9584 | 28.8 | 2.7 | 3.842229 | 0.097047 | 3.626194 | NaN | 1.947000e+07 | % |
| 30 | China | 2.3224 | 0.0866 | 13.4240 | 0.0542 | 8.9298 | 1.2059 | 3.3435 | 4.2451 | 6.0732 | 1.7962 | 1.3773 | 0.8643 | 0.4401 | 0.0704 | 0.0364 | 1.9016 | 0.1781 | 3.1065 | 0.0253 | 0.2665 | 0.5790 | 13.0990 | 36.5744 | 6.6 | 8.5 | 0.007156 | 0.000344 | 0.006685 | 0.000126 | 1.402385e+09 | % |
| 31 | Colombia | 3.1032 | 0.0814 | 12.8210 | 0.0000 | 8.1055 | 0.8132 | 0.4552 | 11.3276 | 3.5540 | 7.7443 | 0.0776 | 0.1729 | 0.2276 | 0.3503 | 0.0343 | 5.0309 | 0.0057 | 4.7518 | 0.0280 | 0.0947 | 0.9454 | 3.0981 | 37.1774 | 22.1 | 4.8 | 4.350795 | 0.112639 | 4.090144 | 0.148012 | 4.944400e+07 | % |
| 32 | Congo | 4.9612 | 0.0122 | 6.1258 | 0.0000 | 6.2564 | 0.0457 | 2.3945 | 4.0015 | 3.2735 | 0.0963 | 0.1730 | 0.3044 | 0.3632 | 0.2408 | 0.0033 | 23.2457 | 0.0171 | 1.3907 | 0.0000 | 0.0016 | 0.6700 | 2.5520 | 43.8709 | 8.4 | 40.3 | 0.571675 | 0.014516 | 0.379721 | 0.177437 | 5.518000e+06 | % |
| 33 | Costa Rica | 1.6982 | 0.1529 | 18.6770 | 0.0007 | 8.6611 | 0.7582 | 1.3317 | 9.5203 | 3.8631 | 12.4535 | 0.0274 | 0.1161 | 0.2914 | 0.8354 | 0.0433 | 1.5676 | 0.3181 | 3.9006 | 0.0000 | 0.0397 | 1.4363 | 2.9837 | 31.3238 | 25.7 | 4.8 | 3.843436 | 0.052279 | 3.055782 | 0.735375 | 5.111000e+06 | % |
| 34 | Cote d'Ivoire | 1.4487 | 0.0132 | 2.9144 | 0.0000 | 11.4585 | 0.1587 | 1.3914 | 4.8741 | 0.9586 | 0.1285 | 0.0163 | 0.2648 | 0.6055 | 0.1727 | 0.1247 | 23.3080 | 0.0759 | 0.7859 | 0.0000 | 0.5443 | 0.8656 | 2.8098 | 47.0806 | 9.0 | 19 | 0.112959 | 0.000619 | 0.106105 | 0.006235 | 2.617500e+07 | % |
| 35 | Croatia | 4.9846 | 0.2296 | 17.3110 | 0.0005 | 5.7726 | 0.3955 | 0.9196 | 3.4094 | 3.6945 | 11.8824 | 0.0000 | 0.1889 | 0.3494 | 0.0373 | 0.0236 | 1.8078 | 0.2458 | 3.0880 | 0.0000 | 0.0761 | 0.3808 | 12.5188 | 32.6838 | 27.1 | <2.5 | 5.848905 | 0.127960 | 5.648706 | 0.072239 | 4.020000e+06 | % |
| 36 | Cuba | 2.0589 | 0.1202 | 10.0096 | 0.0000 | 9.9309 | 0.5263 | 0.3368 | 9.0347 | 3.2837 | 5.5971 | 0.0787 | 0.1456 | 0.5346 | 1.1336 | 0.0089 | 5.1555 | 0.0657 | 3.1617 | 0.0000 | 0.0006 | 0.4535 | 8.3740 | 39.9895 | 26.7 | <2.5 | 0.283760 | 0.002065 | 0.230822 | 0.050873 | 1.128100e+07 | % |
| 37 | Cyprus | 3.4447 | 0.0277 | 16.1736 | 0.0015 | 7.0646 | 0.5746 | 1.8209 | 6.1980 | 5.3167 | 8.2744 | 1.4858 | 0.1584 | 0.4089 | 0.2110 | 0.0307 | 1.7705 | 0.2387 | 4.2194 | 0.0000 | 0.1781 | 1.1937 | 7.3888 | 33.8191 | 22.6 | 5.6 | 2.621707 | 0.017481 | 0.170423 | 2.433803 | 1.207000e+06 | % |
| 38 | Czechia | 9.8498 | 0.8945 | 17.8065 | 0.0006 | 5.6937 | 0.4964 | 0.5355 | 3.3962 | 4.7618 | 10.9830 | 0.1099 | 0.1340 | 0.0949 | 0.1139 | 0.0316 | 3.3991 | 0.1340 | 3.8081 | 0.0000 | 0.0477 | 0.9854 | 4.5289 | 32.1944 | 28.5 | <2.5 | 9.612841 | 0.159845 | 8.555328 | 0.897667 | 1.071600e+07 | % |
| 39 | Denmark | 4.8866 | 1.2415 | 23.2141 | 0.0010 | 6.7226 | 0.8206 | 1.1797 | 3.1098 | 3.6804 | 15.9557 | 0.0000 | 0.3347 | 0.1185 | 0.0369 | 0.0774 | 3.1113 | 0.4069 | 2.8728 | 0.0000 | 0.1138 | 0.0915 | 5.2431 | 26.7812 | 21.3 | <2.5 | 3.463218 | 0.038017 | 3.307360 | 0.117842 | 5.829000e+06 | % |
| 40 | Djibouti | 0.3778 | 0.0579 | 5.5215 | 0.0000 | 20.2702 | 0.1275 | 0.4276 | 3.2735 | 1.7428 | 2.9085 | 1.1831 | 0.2572 | 0.0568 | 1.5724 | 0.1506 | 1.8633 | 0.1309 | 4.2005 | 0.0000 | 0.0406 | 1.6153 | 9.7637 | 44.4582 | 12.2 | 18.9 | 0.601316 | 0.006377 | 0.592308 | 0.002632 | 9.880000e+05 | % |
| 41 | Dominica | 0.9410 | 0.0319 | 8.9011 | 0.0000 | 3.4014 | 0.1244 | 1.4188 | 19.3028 | 2.7820 | 4.4217 | 0.6745 | 0.1219 | 1.1058 | 0.2255 | 0.1512 | 6.8477 | 0.2553 | 3.1738 | 0.0000 | 0.0035 | 0.3797 | 4.6371 | 41.0989 | 28.2 | 6.2 | 0.168056 | 0.000000 | 0.152778 | 0.015278 | 7.200000e+04 | % |
| 42 | Dominican Republic | 3.2100 | 0.1122 | 11.2417 | 0.0006 | 6.9232 | 0.6445 | 0.6059 | 18.4431 | 3.5009 | 6.1202 | 0.0906 | 0.2567 | 1.1395 | 0.5881 | 0.0260 | 2.0198 | 0.1420 | 2.1332 | 0.0000 | 0.0108 | 1.2948 | 2.7385 | 38.7577 | 26.9 | 9.5 | 2.115695 | 0.026676 | 1.577705 | 0.511314 | 1.050000e+07 | % |
| 43 | Ecuador | 3.2929 | 0.1277 | 15.3469 | 0.0328 | 14.9132 | 0.6902 | 0.6893 | 8.0390 | 4.0115 | 9.5745 | 0.1526 | 0.2200 | 0.1765 | 0.1570 | 0.0177 | 2.2701 | 0.0071 | 1.7370 | 0.0000 | 0.0160 | 1.3777 | 2.4981 | 34.6522 | 19.3 | 7.9 | 1.468306 | 0.085683 | 1.198184 | 0.184438 | 1.751100e+07 | % |
| 44 | Egypt | 0.0722 | 0.0896 | 6.7374 | 0.0000 | 17.5311 | 0.2307 | 1.5844 | 6.9387 | 1.7583 | 2.7568 | 0.0187 | 0.3170 | 0.6541 | 0.3063 | 0.0655 | 2.6919 | 0.0863 | 1.7984 | 2.0338 | 0.0268 | 0.3839 | 10.6559 | 43.2622 | 31.1 | 4.5 | 0.167759 | 0.009527 | 0.131002 | 0.027229 | 1.008030e+08 | % |
| 45 | El Salvador | 2.1651 | 0.1113 | 12.8880 | 0.0000 | 11.7265 | 0.7533 | 0.5730 | 5.9517 | 2.6337 | 8.7381 | 0.5920 | 0.0794 | 1.4273 | 1.4661 | 0.0121 | 2.2462 | 0.2649 | 3.5260 | 0.0000 | 0.0155 | 0.4565 | 7.2703 | 37.1029 | 22.7 | 9 | 0.867721 | 0.025814 | 0.778136 | 0.063771 | 6.481000e+06 | % |
| 46 | Estonia | 6.1949 | 0.4556 | 22.3154 | 0.0005 | 6.3498 | 0.6145 | 0.7127 | 3.5061 | 3.0810 | 17.3068 | 0.1501 | 0.1457 | 0.0518 | 0.1472 | 0.0576 | 3.2403 | 0.2121 | 2.3886 | 0.0000 | 0.0886 | 0.3472 | 4.9558 | 27.6779 | 23.8 | 2.9 | 3.569647 | 0.034260 | 2.828550 | 0.706837 | 1.331000e+06 | % |
| 47 | Eswatini | 6.2239 | 0.1024 | 7.4118 | 0.0019 | 14.7814 | 0.1578 | 0.3643 | 8.5537 | 2.5917 | 3.9299 | 0.6695 | 0.2620 | 0.3005 | 0.3578 | 0.1615 | 5.3187 | 0.0648 | 3.1796 | 0.0000 | 0.0892 | 0.3258 | 2.5701 | 42.5816 | 13.5 | 20.6 | 1.465670 | 0.054710 | 1.038859 | 0.372101 | 1.104000e+06 | % |
| 48 | Ethiopia | 2.4543 | 0.0276 | 5.2956 | 0.0000 | 22.0779 | 0.0594 | 0.0608 | 1.1774 | 0.7462 | 4.2647 | 0.0180 | 0.1382 | 0.2322 | 3.0195 | 0.4298 | 11.2918 | 0.2957 | 1.3170 | 0.0000 | 0.0802 | 0.4699 | 1.8449 | 44.6989 | 3.6 | 20.6 | 0.123093 | 0.001867 | 0.109237 | 0.011989 | 1.149160e+08 | % |
| 49 | Fiji | 1.8598 | 0.2922 | 7.8511 | 0.0021 | 10.1440 | 0.2682 | 2.3832 | 2.1636 | 3.0004 | 1.7421 | 0.2586 | 0.1642 | 4.3799 | 0.7746 | 0.0500 | 7.8599 | 0.1238 | 9.7259 | 0.0000 | 0.0157 | 0.8683 | 3.9255 | 42.1469 | 30.0 | 3.7 | 0.006250 | 0.000223 | 0.005915 | 0.000112 | 8.960000e+05 | % |
| 50 | Finland | 4.5004 | 0.5190 | 26.8865 | 0.0000 | 5.1978 | 0.3979 | 1.5306 | 3.1864 | 3.4915 | 20.8378 | 0.7944 | 0.1097 | 0.0883 | 0.0533 | 0.0168 | 2.7671 | 0.5450 | 1.8388 | 0.0000 | 0.0460 | 0.2468 | 3.8325 | 23.1132 | 24.9 | <2.5 | 0.854802 | 0.012443 | 0.560680 | 0.281678 | 5.529000e+06 | % |
| 51 | France | 4.1631 | 0.7907 | 21.7097 | 0.0011 | 6.9951 | 0.6110 | 1.8214 | 4.8780 | 4.4005 | 13.7840 | 0.1918 | 0.3010 | 0.1479 | 0.0991 | 0.0164 | 2.6963 | 0.2925 | 2.6110 | 0.0000 | 0.2093 | 0.8675 | 5.1223 | 28.2903 | 23.2 | <2.5 | 5.199055 | 0.121558 | 0.367877 | 4.709620 | 6.494000e+07 | % |
| 52 | French Polynesia | 4.6997 | 0.0309 | 14.3585 | 0.0169 | 7.6479 | 0.5386 | 3.4809 | 4.3512 | 7.0798 | 2.9364 | 3.2613 | 0.2748 | 3.1818 | 0.1452 | 0.0111 | 3.5436 | 0.1260 | 2.8715 | 0.6809 | 0.0405 | 0.9675 | 4.0992 | 35.6559 | NaN | 4.2 | NaN | NaN | NaN | NaN | 2.800000e+05 | % |
| 53 | Gabon | 6.1881 | 0.0109 | 8.1825 | 0.0000 | 9.1158 | 0.0701 | 2.2578 | 9.0341 | 4.3200 | 0.9486 | 0.4751 | 0.5758 | 0.8509 | 0.0139 | 0.0015 | 11.8727 | 0.0212 | 1.2508 | 0.1248 | 0.0051 | 0.4824 | 2.3979 | 41.8004 | 13.4 | 10.5 | 0.513537 | 0.003182 | 0.483953 | 0.026401 | 2.231000e+06 | % |
| 54 | Gambia | 2.8419 | 0.0114 | 10.1417 | 0.0000 | 21.8908 | 0.2008 | 3.9197 | 0.8742 | 1.1134 | 4.8167 | 0.9824 | 0.0812 | 3.1637 | 0.1281 | 0.0043 | 0.8614 | 0.2719 | 4.1176 | 0.0000 | 0.0897 | 2.2026 | 2.4575 | 39.8291 | 8.7 | 10.2 | 0.175300 | 0.005544 | 0.160778 | 0.008978 | 2.417000e+06 | % |
| 55 | Georgia | 2.5343 | 0.2356 | 15.5347 | 0.0000 | 15.6253 | 0.5032 | 0.6622 | 3.1735 | 2.6217 | 11.3605 | 0.7882 | 0.1507 | 0.0840 | 0.0025 | 0.0247 | 3.7542 | 0.2397 | 3.3110 | 0.0000 | 0.1631 | 0.6680 | 4.0993 | 34.4636 | 23.3 | 7.9 | 7.042261 | 0.087995 | 6.805249 | 0.149017 | 3.715000e+06 | % |
| 56 | Germany | 6.7714 | 0.6715 | 20.8485 | 0.0011 | 6.0363 | 0.5947 | 0.6758 | 3.6131 | 4.6524 | 14.1789 | 0.0000 | 0.0747 | 0.1701 | 0.0419 | 0.0429 | 3.5712 | 0.3493 | 2.5070 | 0.0000 | 0.1903 | 0.8104 | 5.0542 | 29.1443 | 25.7 | <2.5 | 2.743101 | 0.073891 | 2.451366 | 0.217844 | 8.330000e+07 | % |
| 57 | Ghana | 0.9444 | 0.0088 | 2.8956 | 0.0000 | 6.3230 | 0.0705 | 1.4992 | 10.4274 | 0.8069 | 0.4178 | 0.1657 | 0.0917 | 0.7957 | 0.3920 | 0.2380 | 24.6325 | 0.0053 | 0.8128 | 0.2815 | 0.0364 | 0.3655 | 1.6849 | 47.1041 | 9.7 | 5.5 | 0.225424 | 0.001445 | 0.204364 | 0.019615 | 3.107300e+07 | % |
| 58 | Greece | 2.2879 | 0.2116 | 17.6914 | 0.0005 | 7.2801 | 0.4539 | 1.0260 | 6.3296 | 3.7836 | 12.0221 | 0.0596 | 0.1947 | 0.8112 | 0.2539 | 0.0243 | 3.1307 | 0.2560 | 1.7744 | 0.0000 | 0.6676 | 1.5237 | 7.9134 | 32.3038 | 27.4 | <2.5 | 1.525355 | 0.055617 | 0.876299 | 0.593439 | 1.070000e+07 | % |
| 59 | Grenada | 3.1315 | 0.1276 | 12.1319 | 0.0019 | 7.6569 | 0.9226 | 2.5802 | 11.0608 | 5.6546 | 2.7183 | 1.2873 | 0.1266 | 1.3768 | 0.6417 | 0.3171 | 2.2222 | 0.1104 | 5.4480 | 0.0000 | 0.0143 | 0.9959 | 3.6085 | 37.8648 | 20.2 | NaN | 0.130973 | 0.000885 | 0.129204 | 0.000885 | 1.130000e+05 | % |
| 60 | Guatemala | 1.7037 | 0.0957 | 10.3765 | 0.0000 | 15.1579 | 1.4676 | 0.2807 | 6.7124 | 3.9589 | 4.4093 | 0.0348 | 0.1632 | 0.5276 | 1.6504 | 0.0403 | 1.3316 | 0.2872 | 5.3058 | 0.0000 | 0.1980 | 0.8747 | 5.7997 | 39.6240 | 18.8 | 15.2 | 0.901899 | 0.032403 | 0.824294 | 0.045201 | 1.806600e+07 | % |
| 61 | Guinea | 0.3110 | 0.0213 | 3.8776 | 0.0000 | 17.2911 | 0.1648 | 0.8939 | 7.9395 | 1.1561 | 1.4724 | 0.2312 | 0.1692 | 0.9506 | 0.3925 | 0.0000 | 11.7958 | 0.1196 | 1.3368 | 0.0000 | 0.0009 | 1.3271 | 4.4286 | 46.1202 | 6.6 | 16.5 | 0.116760 | 0.000669 | 0.114013 | 0.002078 | 1.256000e+07 | % |
| 62 | Guinea-Bissau | 2.4603 | 0.0423 | 4.9295 | 0.0000 | 21.6069 | 0.1038 | 0.1666 | 6.3660 | 2.2155 | 2.1899 | 0.5331 | 0.2114 | 0.3280 | 0.2499 | 0.0013 | 8.1087 | 0.0167 | 0.7893 | 0.0000 | 0.4485 | 1.8016 | 2.3642 | 45.0666 | 8.2 | 28 | 0.143851 | 0.002387 | 0.125947 | 0.015516 | 1.927000e+06 | % |
| 63 | Guyana | 1.8708 | 0.0206 | 9.1155 | 0.0000 | 9.7847 | 0.1038 | 1.7011 | 5.7954 | 2.5237 | 4.7277 | 0.3516 | 0.0385 | 1.8367 | 0.3907 | 0.1942 | 1.8384 | 0.0742 | 3.2325 | 0.0000 | 0.0435 | 0.2779 | 15.2061 | 40.8722 | 19.2 | 8.1 | 1.008767 | 0.022872 | 0.884625 | 0.101271 | 7.870000e+05 | % |
| 64 | Haiti | 1.2733 | 0.0402 | 3.5986 | 0.0000 | 13.4196 | 0.0525 | 0.5064 | 12.0278 | 1.9687 | 0.8765 | 0.3309 | 0.1532 | 0.4829 | 2.0067 | 0.0022 | 11.4800 | 0.3801 | 2.0961 | 0.0000 | 0.0000 | 0.8742 | 2.0302 | 46.3997 | 20.5 | 49.3 | 0.103113 | 0.002149 | 0.080295 | 0.020670 | 1.140300e+07 | % |
| 65 | Honduras | 2.0662 | 0.1378 | 13.6048 | 0.0000 | 14.1699 | 0.4601 | 0.3339 | 6.8464 | 3.5080 | 9.0154 | 0.6923 | 0.1505 | 0.1749 | 1.3962 | 0.0138 | 0.6796 | 0.4686 | 5.9591 | 0.0000 | 0.0276 | 1.2467 | 2.6599 | 36.3883 | 19.4 | 12.9 | 1.560270 | 0.037612 | 0.626369 | 0.896290 | 9.864000e+06 | % |
| 66 | Hungary | 6.7533 | 1.0595 | 20.0268 | 0.0007 | 7.5908 | 0.8885 | 0.4113 | 3.0852 | 5.2042 | 12.4568 | 0.0039 | 0.0052 | 0.0679 | 0.1906 | 0.1802 | 3.0460 | 0.1031 | 2.5433 | 0.0000 | 0.0183 | 0.7214 | 5.6788 | 29.9644 | 28.6 | <2.5 | 3.840739 | 0.133367 | 2.845797 | 0.861575 | 9.767000e+06 | % |
| 67 | Iceland | 4.7545 | 0.9461 | 23.9700 | 0.0025 | 4.1196 | 0.5557 | 4.6117 | 4.8405 | 4.6269 | 13.0028 | 1.4022 | 0.2232 | 0.1759 | 0.0376 | 0.0676 | 1.9909 | 0.4626 | 3.9472 | 0.0000 | 0.0752 | 0.4667 | 3.6874 | 26.0331 | 23.1 | <2.5 | 1.636141 | 0.007880 | 1.619293 | 0.008967 | 3.680000e+05 | % |
| 68 | India | 0.1959 | 0.0028 | 11.3357 | 0.0000 | 17.3821 | 0.3061 | 0.6499 | 5.4333 | 0.3560 | 9.9889 | 0.0000 | 0.0311 | 0.7280 | 1.5709 | 0.3268 | 2.7906 | 0.0753 | 1.7471 | 0.0000 | 0.1526 | 0.7487 | 7.5213 | 38.6568 | 3.8 | 14.5 | 0.773256 | 0.011070 | 0.751561 | 0.010625 | 1.400100e+09 | % |
| 69 | Indonesia | 0.0794 | 0.0309 | 6.2575 | 0.0009 | 24.3918 | 0.4911 | 3.9386 | 5.5134 | 1.0316 | 0.5943 | 0.0026 | 0.1702 | 2.2113 | 0.0988 | 0.1508 | 4.6343 | 0.0406 | 1.8481 | 0.0000 | 0.0564 | 0.8579 | 3.8558 | 43.7438 | 6.9 | 8.3 | 0.422100 | 0.011553 | 0.345620 | 0.064927 | 2.717390e+08 | % |
| 70 | Iran (Islamic Republic of) | 0.0007 | 0.5369 | 7.9295 | 0.0020 | 14.0141 | 0.4916 | 0.7813 | 7.9235 | 2.3965 | 3.5808 | 0.0007 | 0.1405 | 0.0540 | 0.4729 | 0.0559 | 3.2877 | 0.1299 | 2.1980 | 0.0000 | 0.6421 | 0.7706 | 12.5207 | 42.0701 | 25.5 | 4.9 | 1.734248 | 0.069414 | 1.482322 | 0.182512 | 8.415000e+07 | % |
| 71 | Iraq | 0.1915 | 0.0423 | 6.2809 | 0.0000 | 24.0855 | 1.2467 | 0.4450 | 6.4975 | 2.5171 | 1.9902 | 0.3975 | 0.0396 | 0.3037 | 0.4807 | 0.0304 | 1.0842 | 0.1783 | 3.3755 | 0.0000 | 0.1268 | 2.0139 | 4.9563 | 43.7165 | 27.4 | 29 | 1.579398 | 0.033004 | 1.508287 | 0.038107 | 3.972500e+07 | % |
| 72 | Ireland | 7.5703 | 0.8710 | 18.5712 | 0.0005 | 6.3057 | 0.4653 | 1.1942 | 3.3996 | 4.0102 | 11.9469 | 0.2951 | 0.0831 | 0.1733 | 0.1325 | 0.0362 | 3.5362 | 0.1855 | 4.0147 | 0.0000 | 0.0836 | 0.7497 | 4.9510 | 31.4242 | 26.9 | <2.5 | 4.048531 | 0.073436 | 0.467000 | 3.508095 | 5.003000e+06 | % |
| 73 | Israel | 1.2876 | 0.1026 | 18.7463 | 0.0017 | 7.6277 | 0.5664 | 1.4696 | 6.3746 | 5.5003 | 10.9066 | 0.2602 | 0.2007 | 0.5233 | 0.3640 | 0.0278 | 1.9975 | 0.2619 | 1.7747 | 0.0000 | 0.2262 | 1.6743 | 8.8586 | 31.2472 | 26.7 | <2.5 | 7.439052 | 0.055024 | 6.609635 | 0.774392 | 9.216000e+06 | % |
| 74 | Italy | 3.1892 | 0.2834 | 19.0329 | 0.0005 | 8.5417 | 0.6247 | 1.5816 | 6.0207 | 4.2963 | 12.1258 | 0.0403 | 0.1194 | 0.1836 | 0.2781 | 0.0064 | 1.9043 | 0.2946 | 1.7175 | 0.0000 | 0.4230 | 1.4224 | 6.9463 | 30.9671 | 22.9 | <2.5 | 4.353685 | 0.150927 | 3.494529 | 0.708229 | 6.029600e+07 | % |
| 75 | Jamaica | 2.4636 | 0.2074 | 11.9958 | 0.0074 | 8.5031 | 0.1457 | 1.8692 | 8.0661 | 4.3372 | 5.2170 | 0.6952 | 0.2111 | 0.9990 | 0.2177 | 0.3752 | 4.5837 | 0.1677 | 4.6889 | 0.0000 | 0.0110 | 0.7584 | 6.4772 | 38.0023 | 24.4 | 8 | 0.599537 | 0.012709 | 0.435208 | 0.151620 | 2.809000e+06 | % |
| 76 | Japan | 4.0440 | 0.0751 | 15.3194 | 0.1088 | 12.1692 | 1.6960 | 3.9283 | 2.8618 | 4.2599 | 5.0630 | 0.2962 | 0.1883 | 0.7737 | 0.1287 | 0.1036 | 2.2072 | 0.3731 | 2.2055 | 0.2280 | 0.0812 | 1.3445 | 7.8669 | 34.6776 | 4.4 | <2.5 | 0.320821 | 0.005059 | 0.284770 | 0.030991 | 1.259670e+08 | % |
| 77 | Jordan | 0.0846 | 0.1162 | 9.3186 | 0.0000 | 14.1380 | 0.3344 | 0.5985 | 4.6624 | 3.8651 | 4.2637 | 0.3579 | 0.1397 | 0.7280 | 0.6393 | 0.0469 | 2.1431 | 0.3742 | 4.7276 | 0.0000 | 0.1652 | 1.9861 | 10.6308 | 40.6798 | 33.4 | 12.2 | 3.126276 | 0.040912 | 2.991760 | 0.093604 | 1.067900e+07 | % |
| 78 | Kazakhstan | 2.1919 | 0.3611 | 19.1598 | 0.0000 | 6.5119 | 0.4584 | 0.2393 | 3.2145 | 3.4501 | 14.3591 | 0.2967 | 0.2914 | 0.1154 | 0.0255 | 0.0106 | 5.4755 | 0.1319 | 1.4560 | 0.0000 | 0.0845 | 1.1215 | 10.2055 | 30.8394 | 21.3 | <2.5 | 1.299402 | 0.016651 | 1.137764 | 0.144987 | 1.873200e+07 | % |
| 79 | Kenya | 1.9664 | 0.1175 | 11.4394 | 0.0000 | 15.1221 | 0.1447 | 0.4329 | 4.6941 | 1.7336 | 8.7987 | 0.0250 | 0.2110 | 0.2686 | 1.7510 | 0.0174 | 7.5828 | 0.2230 | 1.8098 | 0.0000 | 0.0892 | 0.6689 | 4.3450 | 38.5589 | 6.0 | 29.4 | 0.189975 | 0.003318 | 0.157491 | 0.029166 | 5.352800e+07 | % |
| 80 | Kiribati | 0.2970 | 0.0486 | 8.8958 | 0.0000 | 8.2747 | 0.1640 | 6.1065 | 5.8907 | 2.3856 | 0.1561 | 0.5104 | 0.0350 | 9.9946 | 0.0032 | 0.0064 | 7.1830 | 0.0311 | 4.1373 | 0.0000 | 0.1951 | 0.4419 | 4.1389 | 41.1042 | 45.6 | 2.7 | NaN | NaN | NaN | NaN | 1.250000e+05 | % |
| 81 | Korea, North | 0.8981 | 0.0010 | 3.3933 | 0.0010 | 17.9378 | 0.4668 | 1.1568 | 6.1383 | 1.3872 | 0.3146 | 0.0690 | 0.0660 | 0.2090 | 1.1000 | 0.0000 | 6.2438 | 0.0142 | 0.3694 | 0.0000 | 0.0426 | 0.7783 | 12.8082 | 46.6046 | 7.1 | 47.8 | NaN | NaN | NaN | NaN | 2.577900e+07 | % |
| 82 | Korea, South | 4.8669 | 0.2553 | 11.8174 | 1.6794 | 11.7286 | 0.6414 | 3.4396 | 3.6993 | 4.4239 | 1.1394 | 0.0000 | 0.2378 | 0.5632 | 0.0720 | 0.0288 | 0.9799 | 0.0945 | 2.4835 | 0.0006 | 0.1664 | 1.1663 | 12.3349 | 38.1810 | 4.9 | <2.5 | 0.156227 | 0.002841 | 0.136855 | 0.016531 | 5.178100e+07 | % |
| 83 | Kuwait | 0.0044 | 0.0022 | 10.7213 | 0.0022 | 11.4132 | 1.3306 | 0.8343 | 5.3058 | 4.8770 | 3.4788 | 0.8554 | 0.1969 | 0.2783 | 0.4353 | 0.2020 | 3.2296 | 0.2696 | 2.9163 | 0.0276 | 0.1512 | 1.1976 | 12.9953 | 39.2750 | 37.0 | 2.8 | 3.624728 | 0.020550 | 3.434087 | 0.170092 | 4.691000e+06 | % |
| 84 | Kyrgyzstan | 0.6313 | 0.1910 | 15.4588 | 0.0000 | 10.1059 | 0.2653 | 0.0700 | 2.2846 | 1.8707 | 12.8008 | 0.2076 | 0.2604 | 0.0098 | 0.3439 | 0.0197 | 5.8068 | 0.0608 | 3.2495 | 0.0000 | 0.1449 | 0.3550 | 11.3219 | 34.5412 | 15.4 | 7.1 | 1.288929 | 0.021580 | 1.236609 | 0.030740 | 6.594000e+06 | % |
| 85 | Lao People's Democratic Republic | 0.7883 | 0.0979 | 3.6579 | 0.0006 | 16.3943 | 0.1063 | 1.4213 | 8.8158 | 1.7111 | 0.1632 | 0.3404 | 0.1581 | 0.3584 | 0.1485 | 0.1317 | 3.4835 | 0.9869 | 1.1101 | 1.9254 | 0.0028 | 0.2149 | 11.6410 | 46.3416 | 4.5 | 16.5 | 0.000621 | 0.000000 | 0.000566 | 0.000055 | 7.242000e+06 | % |
| 86 | Latvia | 5.4573 | 1.1805 | 18.8216 | 0.0005 | 6.3952 | 0.6645 | 1.3226 | 2.5738 | 3.6559 | 11.8285 | 0.2596 | 0.1686 | 0.1107 | 0.0032 | 0.0122 | 6.5835 | 0.1963 | 2.6169 | 0.0000 | 0.0793 | 0.6990 | 6.1946 | 31.1757 | 25.7 | <2.5 | 3.749737 | 0.069769 | 3.122976 | 0.556993 | 1.902000e+06 | % |
| 87 | Lebanon | 0.7164 | 0.0796 | 8.0679 | 0.0000 | 11.8253 | 0.1730 | 0.7091 | 6.9852 | 1.9469 | 5.0748 | 0.0747 | 0.0853 | 0.5052 | 0.5011 | 0.0406 | 3.2676 | 0.3647 | 5.1366 | 0.0000 | 0.5271 | 1.4807 | 10.5128 | 41.9252 | 31.3 | 11 | 4.656938 | 0.052190 | 2.947062 | 1.657685 | 6.825000e+06 | % |
| 88 | Lesotho | 3.4135 | 0.0233 | 6.0914 | 0.0000 | 23.4645 | 0.1204 | 0.2383 | 1.8065 | 2.5290 | 2.7893 | 0.3898 | 0.3924 | 0.0725 | 1.1603 | 0.1165 | 7.1935 | 0.0363 | 2.2079 | 0.0000 | 0.0052 | 0.6786 | 3.3721 | 43.8988 | 13.5 | 13.1 | 0.437908 | 0.008543 | 0.126331 | 0.303035 | 2.142000e+06 | % |
| 89 | Liberia | 1.0338 | 0.0264 | 3.7603 | 0.0000 | 16.1465 | 0.1598 | 0.7764 | 5.3606 | 2.4123 | 0.1545 | 0.2997 | 0.2311 | 0.4159 | 0.0977 | 0.0013 | 15.3608 | 0.0132 | 1.1236 | 1.1804 | 0.0779 | 1.9567 | 3.1728 | 46.2383 | 8.6 | 37.2 | 0.038671 | 0.001661 | 0.034994 | 0.002017 | 5.058000e+06 | % |
| 90 | Lithuania | 5.5419 | 0.5316 | 23.0490 | 0.0009 | 6.4732 | 0.7000 | 1.5431 | 2.4007 | 3.7899 | 16.3529 | 0.0126 | 0.1301 | 0.0867 | 0.4388 | 0.0546 | 2.2766 | 0.2164 | 4.5020 | 0.0000 | 0.0550 | 0.4924 | 4.4045 | 26.9471 | 28.4 | <2.5 | 6.667072 | 0.104760 | 4.939621 | 1.622691 | 2.794000e+06 | % |
| 91 | Luxembourg | 8.0858 | 0.5443 | 14.6038 | 0.0051 | 5.1366 | 0.7875 | 1.6249 | 4.4841 | 4.0469 | 7.4929 | 0.3877 | 0.1036 | 0.1658 | 0.0399 | 0.0586 | 2.2067 | 1.2823 | 8.1121 | 0.0000 | 0.0308 | 0.5630 | 4.8536 | 35.3838 | 24.2 | <2.5 | 8.150633 | 0.093354 | 7.661551 | 0.395728 | 6.320000e+05 | % |
| 92 | Madagascar | 0.7972 | 0.0415 | 4.9125 | 0.0024 | 19.9604 | 0.0770 | 0.6267 | 5.0701 | 1.4618 | 2.5031 | 0.0782 | 0.2002 | 0.1848 | 0.3708 | 0.0486 | 14.4675 | 0.2085 | 1.0922 | 0.5852 | 0.0261 | 0.3115 | 1.8871 | 45.0869 | 4.5 | 44.4 | 0.068849 | 0.001015 | 0.065779 | 0.002055 | 2.769100e+07 | % |
| 93 | Malawi | 1.1827 | 0.0814 | 2.7754 | 0.0000 | 10.6197 | 0.0829 | 0.6970 | 8.4723 | 1.4923 | 0.2524 | 0.0396 | 0.1695 | 0.5436 | 1.1841 | 0.0139 | 20.2901 | 0.0389 | 0.6412 | 0.0000 | 0.0161 | 0.2040 | 3.9786 | 47.2242 | 4.7 | 17.5 | 0.140486 | 0.004375 | 0.059320 | 0.076790 | 1.913000e+07 | % |
| 94 | Malaysia | 0.8948 | 0.0882 | 12.6354 | 0.0204 | 17.3088 | 1.6596 | 5.3482 | 4.1713 | 4.9092 | 0.5300 | 0.1541 | 0.0789 | 0.5801 | 0.2617 | 0.4502 | 1.6568 | 0.1012 | 3.9030 | 0.0000 | 0.0835 | 1.6336 | 6.1678 | 37.3632 | 15.3 | 2.5 | 0.728230 | 0.002614 | 0.570361 | 0.155255 | 3.278100e+07 | % |
| 95 | Maldives | 0.6859 | 0.0029 | 14.2704 | 0.0068 | 11.5385 | 1.1422 | 8.7959 | 6.0777 | 2.0051 | 2.3155 | 3.0315 | 0.0019 | 0.2082 | 0.0808 | 0.3434 | 1.6403 | 0.3960 | 2.9790 | 0.1002 | 0.7569 | 0.1819 | 7.7180 | 35.7208 | 7.9 | 10.3 | 3.078743 | 0.009982 | 2.690573 | 0.378189 | 5.410000e+05 | % |
| 96 | Mali | 2.8904 | 0.0444 | 10.1637 | 0.0000 | 19.8566 | 0.0573 | 0.7543 | 3.8991 | 1.9124 | 7.1206 | 0.1841 | 0.2746 | 0.4910 | 0.7955 | 0.0638 | 2.6772 | 0.0614 | 0.8811 | 0.0000 | 0.2374 | 0.5144 | 7.2943 | 39.8262 | 7.1 | 6.3 | 0.040294 | 0.001669 | 0.029895 | 0.008730 | 2.025100e+07 | % |
| 97 | Malta | 3.9051 | 0.2062 | 13.6092 | 0.0017 | 7.8996 | 0.6714 | 1.7922 | 4.6310 | 4.6096 | 6.2546 | 0.0315 | 0.0747 | 0.2899 | 0.2197 | 0.0331 | 2.0590 | 0.2101 | 5.2164 | 0.0000 | 0.1236 | 0.4860 | 11.2856 | 36.3899 | 31.0 | <2.5 | 3.558621 | 0.053448 | 3.045211 | 0.459962 | 5.220000e+05 | % |
| 98 | Mauritania | 0.0055 | 0.1127 | 15.0193 | 0.0000 | 20.4873 | 0.2539 | 1.0025 | 1.2991 | 3.3994 | 9.8250 | 0.7519 | 0.4279 | 0.0799 | 1.0999 | 0.0066 | 1.0168 | 0.3677 | 4.3166 | 0.0000 | 0.0000 | 1.5716 | 3.9784 | 34.9779 | 11.3 | 10.4 | 0.361118 | 0.009140 | 0.343763 | 0.008215 | 4.650000e+06 | % |
| 99 | Mauritius | 3.0805 | 0.0074 | 9.2700 | 0.0102 | 17.1855 | 0.5910 | 2.1303 | 3.5680 | 4.6992 | 1.7166 | 1.0545 | 0.1173 | 0.4479 | 0.8560 | 0.1847 | 1.8348 | 0.1625 | 3.5680 | 0.0000 | 0.0369 | 2.0490 | 6.7122 | 40.7175 | 11.5 | 6.5 | 0.046166 | 0.000791 | 0.042688 | 0.002688 | 1.265000e+06 | % |
| 100 | Mexico | 4.4105 | 0.1672 | 15.1527 | 0.0201 | 11.4325 | 1.2967 | 0.9656 | 7.6794 | 4.3561 | 7.9917 | 0.0275 | 0.3552 | 0.1947 | 0.7071 | 0.1121 | 1.1644 | 0.0248 | 3.2266 | 0.0000 | 0.1121 | 0.6856 | 5.0713 | 34.8456 | 28.4 | 3.6 | 1.507199 | 0.129731 | 1.159805 | 0.217663 | 1.277920e+08 | % |
| 101 | Mongolia | 3.1430 | 0.3846 | 25.8904 | 0.0000 | 10.1415 | 0.3727 | 0.0440 | 1.0413 | 8.0929 | 15.8560 | 0.5962 | 1.1411 | 0.0266 | 0.0366 | 0.0037 | 2.6155 | 0.1401 | 1.4680 | 0.0000 | 0.0137 | 0.5550 | 4.3326 | 24.1046 | 19.6 | 13.4 | 0.060190 | 0.000060 | 0.043112 | 0.017019 | 3.361000e+06 | % |
| 102 | Montenegro | 2.2188 | 0.2067 | 22.8328 | 0.0014 | 5.0447 | 0.5542 | 0.6472 | 5.7297 | 3.3604 | 17.9487 | 0.8470 | 0.1132 | 0.0865 | 0.2113 | 0.0175 | 1.1955 | 0.2605 | 6.0418 | 0.0000 | 0.0948 | 0.4258 | 5.0001 | 27.1612 | 24.9 | <2.5 | 10.408199 | 0.134405 | 9.039871 | 1.233923 | 6.220000e+05 | % |
| 103 | Morocco | 0.2870 | 0.1449 | 8.4754 | 0.0000 | 18.7029 | 0.4848 | 1.3901 | 7.2110 | 2.5074 | 3.7540 | 0.0079 | 0.1949 | 0.1892 | 0.3306 | 0.1185 | 3.4356 | 0.2042 | 2.6816 | 0.0000 | 0.2549 | 0.8168 | 7.2860 | 41.5224 | 25.6 | 3.4 | 1.321111 | 0.023312 | 1.262575 | 0.035225 | 3.595200e+07 | % |
| 104 | Mozambique | 1.2195 | 0.0297 | 4.0111 | 0.0000 | 13.1904 | 0.1932 | 1.1353 | 2.8312 | 0.9302 | 1.6385 | 0.1565 | 0.0852 | 0.1258 | 1.2809 | 0.0040 | 22.2864 | 0.1050 | 1.0649 | 0.0000 | 0.2011 | 0.7509 | 2.7738 | 45.9864 | 6.0 | 27.9 | 0.141539 | 0.001447 | 0.085959 | 0.054133 | 3.116600e+07 | % |
| 105 | Myanmar | 0.2195 | 0.1751 | 13.5188 | 0.0034 | 16.7608 | 0.4613 | 4.0424 | 4.0287 | 4.9753 | 3.6306 | 0.3391 | 0.2298 | 1.1003 | 1.2806 | 0.2170 | 1.4514 | 0.2298 | 2.8592 | 0.0000 | 0.2913 | 0.6322 | 7.0725 | 36.4807 | 5.7 | 10.6 | NaN | NaN | NaN | NaN | 5.470400e+07 | % |
| 106 | Namibia | 5.4716 | 0.1134 | 9.6094 | 0.0053 | 9.9189 | 0.1196 | 1.0164 | 3.1266 | 2.6844 | 5.4479 | 0.7228 | 0.2207 | 0.0818 | 0.7298 | 0.1266 | 12.8231 | 0.0888 | 3.9848 | 0.0009 | 0.0114 | 0.9531 | 2.3626 | 40.3800 | 15.0 | 27.3 | 1.371271 | 0.014601 | 1.312830 | 0.043841 | 2.541000e+06 | % |
| 107 | Nepal | 0.3318 | 0.0312 | 5.4355 | 0.0000 | 18.1511 | 0.1435 | 0.2050 | 4.7443 | 0.9817 | 3.9212 | 0.0594 | 0.1536 | 0.0594 | 0.9107 | 0.4195 | 6.0521 | 0.0319 | 0.5470 | 3.0677 | 0.0978 | 0.8209 | 9.2770 | 44.5576 | 3.8 | 8.7 | 0.906141 | 0.006784 | 0.892826 | 0.006531 | 2.999600e+07 | % |
| 108 | Netherlands | 4.3903 | 0.3343 | 24.2977 | 0.0111 | 4.9685 | 0.7470 | 1.1517 | 4.9230 | 4.0105 | 18.0051 | 0.0000 | 0.0397 | 0.1111 | 0.0852 | 0.0640 | 4.2639 | 0.2904 | 2.3446 | 0.0000 | 0.1587 | 0.8485 | 3.2587 | 25.6959 | 23.1 | <2.5 | 5.815292 | 0.082830 | 0.076063 | 5.656398 | 1.746700e+07 | % |
| 109 | New Caledonia | 5.0363 | 0.0821 | 11.7818 | 0.0804 | 8.5840 | 0.7494 | 2.0361 | 5.5855 | 5.8687 | 2.7675 | 3.6589 | 0.1993 | 2.2961 | 0.1275 | 0.0488 | 2.5648 | 0.1745 | 3.1901 | 0.0000 | 0.0376 | 1.3157 | 5.5941 | 38.2208 | NaN | 7.1 | NaN | NaN | NaN | NaN | 2.950000e+05 | % |
| 110 | New Zealand | 5.2220 | 0.7446 | 17.5777 | 0.0170 | 7.7522 | 0.7067 | 1.6771 | 4.0202 | 6.8421 | 7.4627 | 0.0000 | 0.1275 | 0.3296 | 0.2414 | 0.0495 | 3.3719 | 0.2374 | 3.8188 | 0.0109 | 0.1499 | 0.5364 | 6.6889 | 32.4155 | 32.0 | <2.5 | 0.046521 | 0.000501 | 0.044696 | 0.001323 | 4.987000e+06 | % |
| 111 | Nicaragua | 1.7194 | 0.0836 | 13.1538 | 0.0030 | 16.8052 | 0.5490 | 0.6557 | 3.8377 | 3.1044 | 8.5527 | 0.6658 | 0.2055 | 0.3354 | 1.3618 | 0.0060 | 1.9118 | 0.0050 | 5.7021 | 0.0000 | 0.0030 | 0.9227 | 3.5808 | 36.8356 | 21.8 | 17 | 0.095497 | 0.002577 | 0.064054 | 0.028866 | 6.596000e+06 | % |
| 112 | Niger | 0.0558 | 0.1185 | 7.2385 | 0.0000 | 22.2843 | 0.0239 | 0.2022 | 2.5503 | 1.2702 | 5.4224 | 0.0687 | 0.2022 | 1.4804 | 3.4838 | 0.0807 | 1.3489 | 0.0349 | 0.3666 | 0.0000 | 0.0000 | 0.3975 | 10.6117 | 42.7585 | 4.7 | 16.5 | 0.019009 | 0.000682 | 0.016330 | 0.001997 | 2.418900e+07 | % |
| 113 | Nigeria | 4.0037 | 0.0151 | 1.7391 | 0.0000 | 10.9220 | 0.1976 | 0.7239 | 4.4268 | 0.5675 | 0.1730 | 0.0437 | 0.0627 | 0.4763 | 0.8311 | 0.1715 | 19.5271 | 0.0064 | 0.6501 | 0.0000 | 0.0841 | 0.8573 | 6.2627 | 48.2585 | 7.8 | 13.4 | 0.067547 | 0.000799 | 0.054602 | 0.012146 | 2.061400e+08 | % |
| 114 | North Macedonia | 1.9045 | 0.3784 | 12.0639 | 0.0000 | 7.3937 | 0.2847 | 0.3507 | 5.0893 | 2.0683 | 8.8045 | 0.2959 | 0.1773 | 0.3253 | 0.2847 | 0.1288 | 3.6779 | 0.2474 | 2.9104 | 0.0000 | 0.1796 | 0.9505 | 14.5512 | 37.9330 | 23.9 | 3.2 | 4.548029 | 0.140192 | 4.025721 | 0.382115 | 2.080000e+06 | % |
| 115 | Norway | 3.7939 | 0.6119 | 21.1992 | 0.0005 | 5.9777 | 0.6194 | 2.7466 | 4.2801 | 3.6083 | 13.5227 | 3.6634 | 0.0893 | 0.3113 | 0.3204 | 0.0235 | 2.8097 | 0.4819 | 2.2652 | 0.0000 | 0.0990 | 0.8697 | 3.9131 | 28.7933 | 25.0 | <2.5 | 1.200167 | 0.010804 | 0.334101 | 0.855263 | 5.387000e+06 | % |
| 116 | Oman | 0.2621 | 0.0571 | 13.5101 | 0.0000 | 9.6835 | 0.5741 | 2.0105 | 9.7870 | 3.0531 | 7.6265 | 0.0423 | 0.1888 | 0.1338 | 0.2776 | 0.2297 | 1.6984 | 0.1395 | 2.5903 | 0.0077 | 0.0521 | 0.6995 | 10.8902 | 36.4860 | 22.9 | 6.8 | 2.865288 | 0.032506 | 2.700318 | 0.132463 | 4.713000e+06 | % |
| 117 | Pakistan | 0.0085 | 0.0969 | 22.2758 | 0.0011 | 14.6224 | 0.3577 | 0.1831 | 2.4099 | 1.7957 | 19.6466 | 0.0117 | 0.1969 | 0.3577 | 0.6993 | 0.1618 | 1.8202 | 0.5258 | 2.6707 | 1.7915 | 0.0852 | 0.3417 | 2.2173 | 27.7226 | 7.8 | 20.3 | 0.250961 | 0.005416 | 0.230941 | 0.014604 | 2.209400e+08 | % |
| 118 | Panama | 6.6254 | 0.2467 | 12.3346 | 0.0031 | 14.2627 | 0.4604 | 1.0050 | 6.6783 | 4.9800 | 5.3530 | 0.7431 | 0.2873 | 0.4589 | 0.4129 | 0.0153 | 1.3758 | 0.1195 | 4.2277 | 0.0000 | 0.0360 | 0.7645 | 1.9480 | 37.6619 | 22.5 | 10 | 7.622321 | 0.127364 | 6.773850 | 0.721107 | 4.283000e+06 | % |
| 119 | Paraguay | 3.9095 | 0.2191 | 11.2654 | 0.0000 | 7.5639 | 0.9035 | 0.3119 | 5.4532 | 4.0434 | 5.3208 | 0.1788 | 0.4675 | 0.2745 | 0.6185 | 0.0082 | 12.5302 | 1.0112 | 2.4084 | 0.0000 | 0.0015 | 1.0733 | 3.7113 | 38.7260 | 19.0 | 10.7 | 1.896664 | 0.038691 | 1.562591 | 0.295382 | 7.255000e+06 | % |
| 120 | Peru | 3.8623 | 0.0316 | 8.6638 | 0.0014 | 11.8140 | 0.6431 | 1.7993 | 8.5783 | 1.7540 | 4.0729 | 0.0719 | 0.3629 | 0.2458 | 0.6367 | 0.0172 | 8.7924 | 0.2501 | 1.7339 | 0.0000 | 0.0230 | 0.5066 | 4.8044 | 41.3344 | 19.1 | 9.7 | 3.573742 | 0.127751 | 3.310514 | 0.135477 | 3.282400e+07 | % |
| 121 | Philippines | 1.9716 | 0.3074 | 6.7108 | 0.0000 | 20.0498 | 0.3527 | 2.4506 | 8.5466 | 3.2257 | 0.1045 | 0.1925 | 0.2717 | 0.5425 | 0.1106 | 0.0340 | 2.8773 | 0.5399 | 2.3774 | 0.0000 | 0.1838 | 0.4119 | 5.4481 | 43.2905 | 6.0 | 13.3 | 0.488699 | 0.010139 | 0.445757 | 0.032803 | 1.095810e+08 | % |
| 122 | Poland | 6.8201 | 0.9842 | 16.5590 | 0.0000 | 7.9033 | 0.3702 | 0.5845 | 3.0079 | 4.8500 | 9.7542 | 0.0000 | 0.0170 | 0.0798 | 0.1099 | 0.0202 | 5.5631 | 0.1509 | 2.4775 | 0.0000 | 0.0476 | 0.3959 | 6.8655 | 33.4390 | 25.6 | <2.5 | 4.028175 | 0.101632 | 3.392335 | 0.534208 | 3.836800e+07 | % |
| 123 | Portugal | 4.7147 | 0.4077 | 18.6614 | 0.0005 | 6.2984 | 0.4053 | 2.7295 | 6.5126 | 4.5168 | 10.3936 | 0.1393 | 0.2079 | 0.0965 | 0.1618 | 0.0173 | 3.1060 | 0.2684 | 1.7316 | 0.0000 | 0.2319 | 0.7246 | 7.3366 | 31.3374 | 23.2 | <2.5 | 7.429605 | 0.136070 | 5.846836 | 1.446699 | 1.025500e+07 | % |
| 124 | Republic of Moldova | 3.8296 | 0.4339 | 16.5343 | 0.0000 | 11.6462 | 0.6795 | 0.9910 | 3.4256 | 3.2622 | 10.9992 | 0.5083 | 0.1694 | 0.0616 | 0.0642 | 0.0068 | 3.9066 | 0.0830 | 2.6632 | 0.0000 | 0.0180 | 0.8250 | 6.4285 | 33.4640 | 20.1 | NaN | 4.646195 | 0.099859 | 4.333692 | 0.212645 | 3.535000e+06 | % |
| 125 | Romania | 4.7679 | 0.3474 | 15.9287 | 0.0000 | 8.0412 | 0.6848 | 0.2844 | 4.2115 | 3.0499 | 11.4018 | 0.2567 | 0.1594 | 0.0974 | 0.1045 | 0.1274 | 4.7130 | 0.1398 | 1.4126 | 0.0000 | 0.1093 | 0.7301 | 9.3641 | 34.0679 | 24.5 | <2.5 | 3.863328 | 0.097755 | 3.583358 | 0.182215 | 1.924100e+07 | % |
| 126 | Russian Federation | 3.7425 | 0.2486 | 16.1525 | 0.0023 | 8.2803 | 0.9029 | 1.1312 | 3.1620 | 4.3180 | 9.3253 | 0.0118 | 0.2249 | 0.1319 | 0.1426 | 0.0118 | 6.3194 | 0.1809 | 4.6144 | 0.0000 | 0.0118 | 0.8663 | 6.3713 | 33.8472 | 25.7 | <2.5 | 2.663104 | 0.051120 | 2.316142 | 0.295842 | 1.467330e+08 | % |
| 127 | Rwanda | 1.3631 | 0.0186 | 2.6366 | 0.0000 | 3.5380 | 0.0269 | 0.5279 | 15.7285 | 0.6257 | 1.3521 | 0.0283 | 0.0855 | 0.2233 | 2.5036 | 0.0179 | 20.4415 | 0.0110 | 0.5782 | 0.0000 | 0.0000 | 0.2109 | 2.7193 | 47.3634 | 4.8 | 36.8 | 0.126135 | 0.001675 | 0.093013 | 0.031447 | 1.295200e+07 | % |
| 128 | Saint Kitts and Nevis | 4.0867 | 0.1735 | 14.0252 | 0.0000 | 6.3135 | 0.3868 | 3.4174 | 7.5449 | 7.8207 | 1.8950 | 1.5442 | 0.3318 | 0.9470 | 0.5422 | 0.0901 | 2.7150 | 0.0749 | 6.4623 | 0.0000 | 0.0673 | 1.3850 | 4.2090 | 35.9677 | 23.1 | NaN | 0.074074 | 0.000000 | 0.066667 | 0.007407 | 5.400000e+04 | % |
| 129 | Saint Lucia | 7.8024 | 0.0252 | 14.8893 | 0.0009 | 7.2091 | 0.3326 | 3.0652 | 5.9453 | 8.1700 | 2.8881 | 1.6054 | 0.4063 | 0.6274 | 0.5663 | 0.1780 | 2.6427 | 0.0602 | 3.7043 | 0.0000 | 0.0575 | 0.6103 | 4.1169 | 35.0964 | 19.8 | NaN | 0.996154 | 0.009890 | 0.480769 | 0.505495 | 1.820000e+05 | % |
| 130 | Saint Vincent and the Grenadines | 2.5260 | 0.0220 | 11.0865 | 0.0000 | 9.0142 | 0.3412 | 1.3785 | 10.4710 | 6.9184 | 2.2593 | 1.9325 | 0.1672 | 0.1049 | 0.6452 | 0.2113 | 4.3734 | 0.2933 | 3.4592 | 0.0000 | 0.0357 | 0.7227 | 5.1371 | 38.9005 | 23.8 | 5.7 | 1.082883 | 0.002703 | 0.361261 | 0.718919 | 1.110000e+05 | % |
| 131 | Samoa | 1.4236 | 0.2262 | 11.1630 | 0.1236 | 3.6768 | 0.1314 | 2.7788 | 10.7845 | 5.7993 | 1.9647 | 0.7751 | 0.1398 | 10.5187 | 0.0000 | 0.0582 | 7.6944 | 0.1344 | 2.0811 | 0.0036 | 0.0108 | 0.5117 | 1.1656 | 38.8349 | 45.5 | 2.7 | 0.001000 | 0.000000 | 0.001000 | 0.000000 | 2.000000e+05 | % |
| 132 | Sao Tome and Principe | 1.5187 | 0.0220 | 4.1199 | 0.0000 | 7.3796 | 0.0562 | 2.3033 | 18.2736 | 1.2054 | 0.5152 | 0.4240 | 0.0187 | 9.9865 | 0.3109 | 0.0293 | 3.7154 | 0.0073 | 2.5939 | 0.0000 | 0.0024 | 0.7805 | 0.8570 | 45.8801 | 10.6 | 7 | 0.643333 | 0.008571 | 0.504762 | 0.130000 | 2.100000e+05 | % |
| 133 | Saudi Arabia | 0.0000 | 0.3917 | 12.9962 | 0.0000 | 16.3284 | 0.6003 | 1.0369 | 7.0413 | 4.9529 | 5.8598 | 0.6690 | 0.1547 | 0.1492 | 0.4768 | 0.2434 | 1.4542 | 0.2050 | 2.8571 | 0.0009 | 0.1135 | 1.7626 | 5.7024 | 37.0038 | 35.0 | 7.1 | 1.055795 | 0.018256 | 1.030898 | 0.006641 | 3.504100e+07 | % |
| 134 | Senegal | 0.3209 | 0.0353 | 5.3434 | 0.0000 | 25.9204 | 0.1878 | 2.0588 | 2.3456 | 1.6081 | 1.2496 | 0.0148 | 0.2060 | 0.7637 | 0.4712 | 0.0717 | 2.6177 | 0.1161 | 2.0941 | 0.0000 | 0.1047 | 1.9325 | 7.8951 | 44.6423 | 7.4 | 11.3 | 0.170145 | 0.004031 | 0.139107 | 0.027007 | 1.674400e+07 | % |
| 135 | Serbia | 4.3920 | 0.2524 | 16.7466 | 0.0000 | 9.7485 | 0.6322 | 0.4148 | 5.9753 | 3.5893 | 11.6190 | 0.0067 | 0.2389 | 0.1322 | 0.1805 | 0.0242 | 2.5450 | 0.2430 | 2.0255 | 0.0007 | 0.1268 | 0.4644 | 7.3941 | 33.2476 | 23.5 | 5.7 | 5.840908 | 0.059106 | 0.000000 | 5.781803 | 6.957000e+06 | % |
| 136 | Sierra Leone | 0.3009 | 0.0067 | 5.6877 | 0.0000 | 19.9349 | 0.1343 | 2.5044 | 3.2119 | 0.7837 | 2.1711 | 0.2504 | 0.0857 | 0.5999 | 0.8913 | 0.0638 | 12.4228 | 0.0762 | 0.6323 | 0.0000 | 0.1000 | 1.2760 | 4.5526 | 44.3138 | 7.5 | 25.6 | 0.047286 | 0.000990 | 0.030738 | 0.015557 | 7.977000e+06 | % |
| 137 | Slovakia | 6.1266 | 1.3559 | 18.9841 | 0.0000 | 5.4026 | 0.9390 | 0.7045 | 3.5463 | 4.3096 | 11.4696 | 0.0290 | 0.2055 | 0.2055 | 0.0973 | 0.0421 | 3.6814 | 0.2513 | 5.5166 | 0.0000 | 0.1118 | 1.4380 | 4.5601 | 31.0231 | 22.4 | 3.4 | 4.792640 | 0.094013 | 4.361424 | 0.337202 | 5.462000e+06 | % |
| 138 | Slovenia | 4.9933 | 1.1248 | 18.9196 | 0.0005 | 7.6345 | 0.5376 | 0.6515 | 6.4367 | 4.1610 | 12.2569 | 0.6133 | 0.1879 | 0.1285 | 0.1106 | 0.0561 | 2.6837 | 0.2615 | 2.4915 | 0.0000 | 0.1972 | 0.4739 | 5.0020 | 31.0774 | 22.5 | <2.5 | 8.235901 | 0.171755 | 7.312934 | 0.751213 | 2.103000e+06 | % |
| 139 | Solomon Islands | 0.8298 | 0.1038 | 3.8504 | 0.0121 | 9.0233 | 0.0826 | 2.2840 | 3.2798 | 0.8897 | 0.4380 | 0.5585 | 0.0394 | 5.0334 | 0.7366 | 0.0364 | 24.2500 | 0.0856 | 0.8268 | 0.0000 | 0.0356 | 0.3327 | 1.1223 | 46.1492 | 20.5 | 8.9 | 0.002378 | 0.000000 | 0.001399 | 0.000979 | 7.150000e+05 | % |
| 140 | South Africa | 6.2658 | 0.0593 | 11.8433 | 0.0009 | 17.1035 | 0.5940 | 0.5365 | 1.9355 | 5.3933 | 4.8155 | 0.0009 | 0.4448 | 0.2462 | 0.1546 | 0.0539 | 2.8503 | 0.1321 | 4.4677 | 0.0000 | 0.0108 | 1.1726 | 3.7632 | 38.1554 | 27.0 | 6.2 | 2.471490 | 0.077447 | 2.248100 | 0.145943 | 5.962800e+07 | % |
| 141 | Spain | 5.3152 | 0.2357 | 18.3382 | 0.0011 | 6.0548 | 0.7321 | 2.2646 | 4.8332 | 5.3456 | 9.5991 | 0.0000 | 0.1605 | 0.2650 | 0.2666 | 0.0069 | 3.0975 | 0.2229 | 1.8482 | 0.0000 | 0.4287 | 1.5122 | 7.8139 | 31.6581 | 27.1 | <2.5 | 6.176110 | 0.128867 | 0.315684 | 5.731559 | 4.763500e+07 | % |
| 142 | Sri Lanka | 0.6810 | 0.0147 | 5.5328 | 0.0039 | 20.7839 | 0.4178 | 3.0173 | 4.1171 | 0.8845 | 1.0948 | 0.0303 | 0.0998 | 7.1364 | 0.9608 | 0.5244 | 1.9793 | 0.2818 | 2.7209 | 0.0000 | 0.1350 | 0.2466 | 4.8753 | 44.4618 | 5.4 | 9 | 0.312604 | 0.001600 | 0.285335 | 0.025669 | 2.193700e+07 | % |
| 143 | Sudan | 0.0000 | 0.0958 | 13.1178 | 0.0000 | 12.9192 | 0.1176 | 0.1018 | 7.0919 | 2.1133 | 10.4116 | 0.0741 | 0.2796 | 0.4920 | 1.0631 | 0.0405 | 1.9167 | 0.1502 | 3.1231 | 0.7262 | 0.0000 | 0.9366 | 8.3477 | 36.8813 | 7.4 | 20.1 | 0.067582 | 0.004176 | 0.049702 | 0.013704 | 4.384900e+07 | % |
| 144 | Suriname | 4.1704 | 0.0438 | 6.7984 | 0.0000 | 13.9476 | 0.5407 | 1.4348 | 8.6872 | 3.6451 | 1.0789 | 1.2414 | 0.0576 | 0.6757 | 0.1719 | 0.0224 | 2.4553 | 0.0903 | 4.7051 | 0.3207 | 0.0155 | 1.3351 | 5.3705 | 43.1917 | 26.5 | 8.5 | 1.429752 | 0.026446 | 1.318017 | 0.085289 | 6.050000e+05 | % |
| 145 | Sweden | 4.4232 | 1.0442 | 24.0627 | 0.0000 | 6.1923 | 0.7266 | 1.7659 | 3.5405 | 4.1476 | 16.3687 | 0.4623 | 0.0086 | 0.1712 | 0.0937 | 0.0484 | 2.8343 | 0.5533 | 2.5211 | 0.0000 | 0.0996 | 0.3967 | 4.6110 | 25.9282 | 22.1 | <2.5 | 5.666975 | 0.116749 | 0.000000 | 5.550226 | 1.037700e+07 | % |
| 146 | Switzerland | 4.9978 | 0.4802 | 22.4227 | 0.0022 | 5.9818 | 0.5377 | 0.9109 | 4.6041 | 3.6314 | 16.7060 | 0.0000 | 0.1549 | 0.1124 | 0.0995 | 0.0382 | 2.1542 | 0.3727 | 2.9737 | 0.0000 | 0.2377 | 1.0637 | 4.9478 | 27.5705 | 21.2 | <2.5 | 6.160215 | 0.111258 | 3.678480 | 2.370477 | 8.634000e+06 | % |
| 147 | Taiwan* | 2.7663 | 0.1577 | 12.1312 | 0.0281 | 10.0808 | 1.0900 | 2.3182 | 8.3904 | 6.0558 | 2.3299 | 0.1874 | 0.1507 | 1.0736 | 0.2077 | 0.1023 | 0.8565 | 0.1374 | 2.3455 | 0.2826 | 0.4185 | 1.8271 | 9.1938 | 37.8684 | NaN | 3.5 | 0.003914 | 0.000038 | 0.003571 | 0.000305 | 2.361000e+07 | % |
| 148 | Tajikistan | 0.1423 | 0.0018 | 7.2363 | 0.0000 | 13.3691 | 0.2255 | 0.0342 | 3.7863 | 1.5221 | 5.2373 | 0.2089 | 0.2144 | 0.1349 | 0.2486 | 0.0305 | 2.9278 | 0.0555 | 1.6607 | 0.0000 | 0.0582 | 0.8419 | 19.2995 | 42.7642 | 12.6 | NaN | 0.141139 | 0.000955 | 0.140185 | 0.000000 | 9.429000e+06 | % |
| 149 | Thailand | 3.6223 | 0.0902 | 7.7828 | 0.0325 | 17.5571 | 1.1143 | 2.6297 | 8.3291 | 2.4675 | 1.3279 | 0.0090 | 0.1199 | 1.2775 | 0.2344 | 0.6626 | 1.8887 | 0.1262 | 4.0424 | 0.0000 | 0.0938 | 0.7816 | 3.5962 | 42.2145 | 10.8 | 7.8 | 0.035126 | 0.000119 | 0.025464 | 0.009544 | 6.653400e+07 | % |
| 150 | Timor-Leste | 0.4459 | 0.0897 | 5.4983 | 0.0000 | 26.3320 | 0.1025 | 1.0225 | 2.1027 | 4.0376 | 0.1307 | 0.8905 | 0.1153 | 0.5612 | 0.9098 | 0.0500 | 5.5022 | 1.0136 | 2.8203 | 0.0000 | 0.0013 | 0.6842 | 3.1867 | 44.5030 | 2.9 | 24.9 | 0.006070 | 0.000000 | 0.004628 | 0.001442 | 1.318000e+06 | % |
| 151 | Togo | 1.0144 | 0.0292 | 3.6702 | 0.0000 | 15.8144 | 0.1067 | 1.3178 | 0.9100 | 1.4133 | 0.7246 | 0.7448 | 0.0775 | 0.4718 | 1.7626 | 0.0595 | 20.0654 | 0.0843 | 1.8312 | 0.0000 | 0.0000 | 1.4099 | 2.1637 | 46.3287 | 7.1 | 16.1 | 0.065660 | 0.000954 | 0.054777 | 0.009929 | 8.279000e+06 | % |
| 152 | Trinidad and Tobago | 2.4881 | 0.2804 | 12.7835 | 0.0000 | 13.0903 | 0.4044 | 2.3299 | 4.9733 | 6.7063 | 2.8789 | 0.2413 | 0.1837 | 1.2016 | 0.8939 | 0.2305 | 3.5148 | 0.0899 | 5.6200 | 0.0000 | 0.0928 | 1.2563 | 3.5256 | 37.2145 | 19.7 | 5.5 | 0.556026 | 0.009861 | 0.529949 | 0.016216 | 1.369000e+06 | % |
| 153 | Tunisia | 0.7037 | 0.2083 | 9.6312 | 0.0000 | 12.0523 | 0.4508 | 0.7615 | 5.4307 | 1.6411 | 6.4775 | 0.0116 | 0.0926 | 0.2031 | 0.4311 | 0.1065 | 1.7724 | 0.1979 | 2.0832 | 0.0000 | 0.3489 | 1.2551 | 15.7731 | 40.3673 | 27.3 | 4.3 | 1.817216 | 0.060205 | 1.453304 | 0.303707 | 1.189600e+07 | % |
| 154 | Turkey | 0.6474 | 0.1459 | 12.3156 | 0.0000 | 9.7080 | 0.3956 | 0.2582 | 6.8321 | 2.0694 | 9.3619 | 0.0101 | 0.0857 | 0.2720 | 0.6820 | 0.1251 | 2.4947 | 0.2002 | 1.7004 | 0.0000 | 0.4664 | 1.0174 | 13.5284 | 37.6836 | 32.2 | <2.5 | 3.015138 | 0.031868 | 2.881050 | 0.102220 | 8.373700e+07 | % |
| 155 | Turkmenistan | 0.5038 | 0.3373 | 16.0611 | 0.0000 | 14.8029 | 0.5139 | 0.2137 | 4.1441 | 4.3767 | 10.5606 | 0.2530 | 0.0589 | 0.0661 | 0.1032 | 0.0015 | 2.3000 | 0.0945 | 0.6746 | 0.0000 | 0.0283 | 0.5655 | 10.4014 | 33.9389 | 17.5 | 5.4 | NaN | NaN | NaN | NaN | 6.031000e+06 | % |
| 156 | Uganda | 6.1671 | 0.0352 | 5.6473 | 0.0000 | 6.7480 | 0.0815 | 1.0442 | 11.3112 | 0.8978 | 3.4755 | 0.0371 | 0.1130 | 0.6338 | 2.3942 | 0.0120 | 12.3610 | 0.0130 | 1.2601 | 0.0000 | 0.0000 | 0.7440 | 2.6703 | 44.3536 | 4.1 | 41 | 0.087058 | 0.000715 | 0.031370 | 0.054973 | 4.574100e+07 | % |
| 157 | Ukraine | 2.6250 | 0.1753 | 13.1214 | 0.0006 | 9.3613 | 0.8434 | 0.6821 | 2.9418 | 2.7425 | 8.5442 | 0.0070 | 0.1339 | 0.0175 | 0.1099 | 0.0111 | 7.6721 | 0.0883 | 3.8811 | 0.0000 | 0.0807 | 0.6470 | 9.4361 | 36.8777 | 26.1 | 3.5 | 3.075923 | 0.059206 | 2.653382 | 0.363335 | 4.177800e+07 | % |
| 158 | United Arab Emirates | 0.0000 | 0.1896 | 10.5491 | 0.0000 | 12.9060 | 0.5958 | 1.9682 | 8.1938 | 4.9400 | 2.6468 | 0.9471 | 0.2095 | 0.6133 | 2.1108 | 0.3194 | 0.8937 | 0.1649 | 3.6576 | 0.0000 | 0.5838 | 0.7949 | 8.2695 | 39.4461 | 29.9 | 2.6 | 3.307445 | 0.009348 | 3.079168 | 0.218930 | 9.778000e+06 | % |
| 159 | United Kingdom | 5.2632 | 0.2754 | 18.8798 | 0.0006 | 6.5412 | 0.6210 | 1.0911 | 4.9551 | 4.4181 | 12.3684 | 0.6658 | 0.1056 | 0.2240 | 0.2035 | 0.0653 | 5.1133 | 0.2461 | 2.4383 | 0.0000 | 0.0901 | 0.7372 | 4.5851 | 31.1116 | 29.5 | <2.5 | 5.868483 | 0.167220 | 0.015161 | 5.686102 | 6.716000e+07 | % |
| 160 | United Republic of Tanzania | 4.5185 | 0.0403 | 4.8022 | 0.0000 | 10.4453 | 0.0300 | 0.5828 | 6.8147 | 0.7902 | 3.3606 | 0.0214 | 0.0000 | 1.2839 | 2.1761 | 0.0274 | 13.9370 | 0.0300 | 1.0345 | 0.0000 | 0.0420 | 0.9136 | 3.9520 | 45.1973 | 7.1 | 30.7 | 0.000852 | 0.000035 | 0.000306 | 0.000511 | 5.973400e+07 | % |
| 161 | United States of America | 4.8647 | 0.1681 | 21.2352 | 0.0020 | 5.5048 | 0.7860 | 1.1287 | 4.5432 | 6.2645 | 12.8657 | 0.0000 | 0.0197 | 0.3246 | 0.1893 | 0.0490 | 2.8390 | 0.2458 | 3.3200 | 0.0000 | 0.1772 | 0.9889 | 5.7249 | 28.7587 | 37.3 | <2.5 | 8.159922 | 0.140103 | 0.000000 | 8.019819 | 3.298780e+08 | % |
| 162 | Uruguay | 3.5664 | 0.2100 | 17.8865 | 0.0000 | 10.2510 | 0.7764 | 0.6058 | 5.3746 | 3.7863 | 12.3906 | 0.3918 | 0.1168 | 0.2770 | 0.1936 | 0.0144 | 3.0440 | 0.6169 | 3.4102 | 0.0000 | 0.0131 | 1.0337 | 3.9333 | 32.1076 | 28.9 | <2.5 | 1.269102 | 0.013622 | 1.089465 | 0.166015 | 3.531000e+06 | % |
| 163 | Uzbekistan | 0.6835 | 0.1353 | 14.4463 | 0.0000 | 10.5365 | 0.3566 | 0.1218 | 5.2150 | 1.8621 | 11.7952 | 0.0400 | 0.1748 | 0.0287 | 0.0022 | 0.0038 | 2.8891 | 0.0644 | 0.5796 | 0.0000 | 0.0649 | 0.6109 | 14.8354 | 35.5540 | 15.3 | 6.3 | 0.231302 | 0.001817 | 0.226751 | 0.002733 | 3.417400e+07 | % |
| 164 | Vanuatu | 0.2424 | 0.0793 | 6.6244 | 0.0000 | 6.4102 | 0.1875 | 2.1649 | 5.8103 | 2.7466 | 1.2692 | 0.2882 | 0.1776 | 12.1763 | 0.0008 | 0.0374 | 12.7275 | 0.0305 | 1.3645 | 0.0000 | 0.0038 | 0.3674 | 3.9175 | 43.3737 | 23.5 | 7.2 | 0.000312 | 0.000000 | 0.000312 | 0.000000 | 3.210000e+05 | % |
| 165 | Venezuela (Bolivarian Republic of) | 2.5952 | 0.0403 | 14.7565 | 0.0000 | 12.9253 | 0.3389 | 0.9456 | 7.6460 | 3.8328 | 9.3920 | 0.0702 | 0.2078 | 0.0281 | 0.3342 | 0.0009 | 2.5643 | 0.1479 | 3.4106 | 0.0000 | 0.0009 | 1.3734 | 4.1474 | 35.2416 | 25.2 | 21.2 | 0.452585 | 0.004287 | 0.424399 | 0.023899 | 2.864500e+07 | % |
| 166 | Vietnam | 1.4591 | 0.1640 | 8.5765 | 0.0042 | 16.8740 | 0.3077 | 2.6392 | 5.9029 | 4.4382 | 0.6069 | 0.0126 | 0.4149 | 0.8410 | 0.2032 | 0.2074 | 1.0596 | 0.2880 | 1.2846 | 0.8150 | 0.3070 | 0.2201 | 11.9508 | 41.4232 | 2.1 | 9.3 | 0.002063 | 0.000036 | 0.001526 | 0.000501 | 9.620900e+07 | % |
| 167 | Yemen | 0.0364 | 0.0446 | 5.7874 | 0.0000 | 27.2077 | 0.2579 | 0.5240 | 5.1344 | 2.7871 | 1.8911 | 0.2033 | 0.2827 | 0.0893 | 0.8645 | 0.0347 | 1.0794 | 0.2199 | 5.0468 | 0.0000 | 0.0017 | 1.0811 | 3.2135 | 44.2126 | 14.1 | 38.9 | 0.007131 | 0.002062 | 0.004788 | 0.000282 | 2.982600e+07 | % |
| 168 | Zambia | 5.7360 | 0.0829 | 6.0197 | 0.0000 | 21.1938 | 0.3399 | 1.6924 | 1.0183 | 1.8427 | 1.7570 | 0.2149 | 0.3048 | 1.8736 | 0.1756 | 0.0478 | 7.9649 | 0.0618 | 1.5632 | 0.0000 | 0.0014 | 0.6657 | 3.4649 | 43.9789 | 6.5 | 46.7 | 0.334133 | 0.004564 | 0.290524 | 0.039045 | 1.838400e+07 | % |
| 169 | Zimbabwe | 4.0552 | 0.0755 | 8.1489 | 0.0000 | 22.6240 | 0.2678 | 0.5518 | 2.2000 | 2.6142 | 4.4310 | 0.2012 | 0.2086 | 0.4498 | 0.4261 | 0.0252 | 2.9870 | 0.1494 | 4.6485 | 0.0000 | 0.0518 | 1.7103 | 2.3213 | 41.8526 | 12.3 | 51.3 | 0.232033 | 0.008854 | 0.190964 | 0.032214 | 1.486300e+07 | % |
Analyzing the Data
Evaluation #1: Does Obesity Play A Factor In COVID-19 Deaths?
Obesity continues to be one of the leading causes of death in the United States and worldwide. In most circumstances, people may become obese due to a poor nutritional diet. "Obesity has reached epidemic proportions globally, with at least 2.9 million people dying each year as a result of being overweight or obese" [3]. As previously mentioned, COVID-19 is a infectious respiratory disease. It is probable to expect that individuals with poor nutritional diets, possibly consisting of individuals who suffer from obesity or in the overweight category would be at greater risk of infection and death. To test whether there is a correlation between obesity and COVID-19 deaths, we took the obesity rates of various countries and compared them to the number of COVID-19 deaths of each country, performing a linear regression on the plot. The reason behind using a linear regression is because if there is a correlation, a linear relation is clearly illustrated. Below are the result of our calculations regarding the linear relationship between Obesity and COVID-19 deaths.
Null Hypothesis: Obesity Rates have no correlation between COVID-19 deaths globally for each country in the dataset.
Alternate Hypothesis: Obesity Rates have a strong correlation between obesity and COVID-19 deaths globally for each country in the dataset.
# Drop all necessary columns except the ones that have a direct relation to COVID-19 tests, deaths, and various age groups
covid_obesity_df = covid_df.drop(['Alcoholic Beverages', 'Animal Products', 'Animal fats', 'Aquatic Products, Other',
'Cereals - Excluding Beer', 'Eggs', 'Fish, Seafood', 'Fruits - Excluding Wine', 'Meat',
'Miscellaneous', 'Milk - Excluding Butter', 'Offals', 'Oilcrops', 'Pulses', 'Spices',
'Starchy Roots', 'Stimulants', 'Sugar Crops', 'Sugar & Sweeteners', 'Treenuts',
'Vegetal Products', 'Vegetable Oils', 'Vegetables', 'Undernourished', 'Population',
'Unit (all except Population)'], axis = 1)
# Drop any rows of data that contain missing values or 'NaN' values
covid_obesity_df = covid_obesity_df.dropna(how = 'any', thresh = None, subset = ['Obesity', 'Deaths'], inplace = False)
# Print new table
covid_obesity_df
| Country | Obesity | Confirmed | Deaths | Recovered | Active | |
|---|---|---|---|---|---|---|
| 0 | Afghanistan | 4.5 | 0.142134 | 0.006186 | 0.123374 | 0.012574 |
| 1 | Albania | 22.3 | 2.967301 | 0.050951 | 1.792636 | 1.123714 |
| 2 | Algeria | 26.6 | 0.244897 | 0.006558 | 0.167572 | 0.070767 |
| 3 | Angola | 6.8 | 0.061687 | 0.001461 | 0.056808 | 0.003419 |
| 4 | Antigua and Barbuda | 19.1 | 0.293878 | 0.007143 | 0.190816 | 0.095918 |
| 5 | Argentina | 28.5 | 4.356147 | 0.108227 | 3.905192 | 0.342729 |
| 6 | Armenia | 20.9 | 5.681225 | 0.105345 | 5.398410 | 0.177470 |
| 7 | Australia | 30.4 | 0.112025 | 0.003530 | 0.101289 | 0.007207 |
| 8 | Austria | 21.9 | 4.739982 | 0.089679 | 4.496870 | 0.153433 |
| 9 | Azerbaijan | 19.9 | 2.285536 | 0.031223 | 2.225574 | 0.028740 |
| 10 | Bahamas | 32.1 | 2.100763 | 0.044784 | 1.735115 | 0.320865 |
| 11 | Bangladesh | 3.4 | 0.316691 | 0.004823 | 0.284344 | 0.027524 |
| 12 | Barbados | 24.8 | 0.583972 | 0.006272 | 0.470035 | 0.107666 |
| 13 | Belarus | 26.6 | 2.740896 | 0.018912 | 2.612704 | 0.109280 |
| 14 | Belgium | 24.5 | 6.286322 | 0.185428 | 0.000000 | 6.100894 |
| 15 | Belize | 22.4 | 2.872792 | 0.073031 | 2.739618 | 0.060143 |
| 16 | Benin | 8.2 | 0.034344 | 0.000450 | 0.029183 | 0.004710 |
| 17 | Bolivia | 18.7 | 1.952446 | 0.092435 | 1.438614 | 0.421396 |
| 18 | Bosnia and Herzegovina | 19.4 | 3.762085 | 0.145535 | 2.960317 | 0.656233 |
| 19 | Botswana | 16.1 | 1.014372 | 0.007035 | 0.844799 | 0.162538 |
| 20 | Brazil | 22.3 | 4.460165 | 0.108603 | 3.979469 | 0.372094 |
| 21 | Bulgaria | 27.4 | 3.227256 | 0.134416 | 2.788956 | 0.303883 |
| 22 | Burkina Faso | 4.5 | 0.053710 | 0.000641 | 0.048031 | 0.005038 |
| 23 | Cabo Verde | 10.6 | 2.586331 | 0.024281 | 2.461151 | 0.100899 |
| 24 | Cambodia | 3.5 | 0.003059 | 0.000000 | 0.002930 | 0.000129 |
| 25 | Cameroon | 9.5 | 0.118031 | 0.001782 | 0.110914 | 0.005335 |
| 26 | Canada | 31.3 | 2.109961 | 0.054203 | 1.909848 | NaN |
| 27 | Central African Republic | 6.3 | 0.103292 | 0.001304 | 0.101139 | 0.000849 |
| 28 | Chad | 4.8 | 0.020578 | 0.000741 | 0.016881 | 0.002957 |
| 29 | Chile | 28.8 | 3.842229 | 0.097047 | 3.626194 | NaN |
| 30 | China | 6.6 | 0.007156 | 0.000344 | 0.006685 | 0.000126 |
| 31 | Colombia | 22.1 | 4.350795 | 0.112639 | 4.090144 | 0.148012 |
| 32 | Congo | 8.4 | 0.571675 | 0.014516 | 0.379721 | 0.177437 |
| 33 | Costa Rica | 25.7 | 3.843436 | 0.052279 | 3.055782 | 0.735375 |
| 34 | Cote d'Ivoire | 9.0 | 0.112959 | 0.000619 | 0.106105 | 0.006235 |
| 35 | Croatia | 27.1 | 5.848905 | 0.127960 | 5.648706 | 0.072239 |
| 36 | Cuba | 26.7 | 0.283760 | 0.002065 | 0.230822 | 0.050873 |
| 37 | Cyprus | 22.6 | 2.621707 | 0.017481 | 0.170423 | 2.433803 |
| 38 | Czechia | 28.5 | 9.612841 | 0.159845 | 8.555328 | 0.897667 |
| 39 | Denmark | 21.3 | 3.463218 | 0.038017 | 3.307360 | 0.117842 |
| 40 | Djibouti | 12.2 | 0.601316 | 0.006377 | 0.592308 | 0.002632 |
| 41 | Dominica | 28.2 | 0.168056 | 0.000000 | 0.152778 | 0.015278 |
| 42 | Dominican Republic | 26.9 | 2.115695 | 0.026676 | 1.577705 | 0.511314 |
| 43 | Ecuador | 19.3 | 1.468306 | 0.085683 | 1.198184 | 0.184438 |
| 44 | Egypt | 31.1 | 0.167759 | 0.009527 | 0.131002 | 0.027229 |
| 45 | El Salvador | 22.7 | 0.867721 | 0.025814 | 0.778136 | 0.063771 |
| 46 | Estonia | 23.8 | 3.569647 | 0.034260 | 2.828550 | 0.706837 |
| 47 | Eswatini | 13.5 | 1.465670 | 0.054710 | 1.038859 | 0.372101 |
| 48 | Ethiopia | 3.6 | 0.123093 | 0.001867 | 0.109237 | 0.011989 |
| 49 | Fiji | 30.0 | 0.006250 | 0.000223 | 0.005915 | 0.000112 |
| 50 | Finland | 24.9 | 0.854802 | 0.012443 | 0.560680 | 0.281678 |
| 51 | France | 23.2 | 5.199055 | 0.121558 | 0.367877 | 4.709620 |
| 53 | Gabon | 13.4 | 0.513537 | 0.003182 | 0.483953 | 0.026401 |
| 54 | Gambia | 8.7 | 0.175300 | 0.005544 | 0.160778 | 0.008978 |
| 55 | Georgia | 23.3 | 7.042261 | 0.087995 | 6.805249 | 0.149017 |
| 56 | Germany | 25.7 | 2.743101 | 0.073891 | 2.451366 | 0.217844 |
| 57 | Ghana | 9.7 | 0.225424 | 0.001445 | 0.204364 | 0.019615 |
| 58 | Greece | 27.4 | 1.525355 | 0.055617 | 0.876299 | 0.593439 |
| 59 | Grenada | 20.2 | 0.130973 | 0.000885 | 0.129204 | 0.000885 |
| 60 | Guatemala | 18.8 | 0.901899 | 0.032403 | 0.824294 | 0.045201 |
| 61 | Guinea | 6.6 | 0.116760 | 0.000669 | 0.114013 | 0.002078 |
| 62 | Guinea-Bissau | 8.2 | 0.143851 | 0.002387 | 0.125947 | 0.015516 |
| 63 | Guyana | 19.2 | 1.008767 | 0.022872 | 0.884625 | 0.101271 |
| 64 | Haiti | 20.5 | 0.103113 | 0.002149 | 0.080295 | 0.020670 |
| 65 | Honduras | 19.4 | 1.560270 | 0.037612 | 0.626369 | 0.896290 |
| 66 | Hungary | 28.6 | 3.840739 | 0.133367 | 2.845797 | 0.861575 |
| 67 | Iceland | 23.1 | 1.636141 | 0.007880 | 1.619293 | 0.008967 |
| 68 | India | 3.8 | 0.773256 | 0.011070 | 0.751561 | 0.010625 |
| 69 | Indonesia | 6.9 | 0.422100 | 0.011553 | 0.345620 | 0.064927 |
| 70 | Iran (Islamic Republic of) | 25.5 | 1.734248 | 0.069414 | 1.482322 | 0.182512 |
| 71 | Iraq | 27.4 | 1.579398 | 0.033004 | 1.508287 | 0.038107 |
| 72 | Ireland | 26.9 | 4.048531 | 0.073436 | 0.467000 | 3.508095 |
| 73 | Israel | 26.7 | 7.439052 | 0.055024 | 6.609635 | 0.774392 |
| 74 | Italy | 22.9 | 4.353685 | 0.150927 | 3.494529 | 0.708229 |
| 75 | Jamaica | 24.4 | 0.599537 | 0.012709 | 0.435208 | 0.151620 |
| 76 | Japan | 4.4 | 0.320821 | 0.005059 | 0.284770 | 0.030991 |
| 77 | Jordan | 33.4 | 3.126276 | 0.040912 | 2.991760 | 0.093604 |
| 78 | Kazakhstan | 21.3 | 1.299402 | 0.016651 | 1.137764 | 0.144987 |
| 79 | Kenya | 6.0 | 0.189975 | 0.003318 | 0.157491 | 0.029166 |
| 82 | Korea, South | 4.9 | 0.156227 | 0.002841 | 0.136855 | 0.016531 |
| 83 | Kuwait | 37.0 | 3.624728 | 0.020550 | 3.434087 | 0.170092 |
| 84 | Kyrgyzstan | 15.4 | 1.288929 | 0.021580 | 1.236609 | 0.030740 |
| 85 | Lao People's Democratic Republic | 4.5 | 0.000621 | 0.000000 | 0.000566 | 0.000055 |
| 86 | Latvia | 25.7 | 3.749737 | 0.069769 | 3.122976 | 0.556993 |
| 87 | Lebanon | 31.3 | 4.656938 | 0.052190 | 2.947062 | 1.657685 |
| 88 | Lesotho | 13.5 | 0.437908 | 0.008543 | 0.126331 | 0.303035 |
| 89 | Liberia | 8.6 | 0.038671 | 0.001661 | 0.034994 | 0.002017 |
| 90 | Lithuania | 28.4 | 6.667072 | 0.104760 | 4.939621 | 1.622691 |
| 91 | Luxembourg | 24.2 | 8.150633 | 0.093354 | 7.661551 | 0.395728 |
| 92 | Madagascar | 4.5 | 0.068849 | 0.001015 | 0.065779 | 0.002055 |
| 93 | Malawi | 4.7 | 0.140486 | 0.004375 | 0.059320 | 0.076790 |
| 94 | Malaysia | 15.3 | 0.728230 | 0.002614 | 0.570361 | 0.155255 |
| 95 | Maldives | 7.9 | 3.078743 | 0.009982 | 2.690573 | 0.378189 |
| 96 | Mali | 7.1 | 0.040294 | 0.001669 | 0.029895 | 0.008730 |
| 97 | Malta | 31.0 | 3.558621 | 0.053448 | 3.045211 | 0.459962 |
| 98 | Mauritania | 11.3 | 0.361118 | 0.009140 | 0.343763 | 0.008215 |
| 99 | Mauritius | 11.5 | 0.046166 | 0.000791 | 0.042688 | 0.002688 |
| 100 | Mexico | 28.4 | 1.507199 | 0.129731 | 1.159805 | 0.217663 |
| 101 | Mongolia | 19.6 | 0.060190 | 0.000060 | 0.043112 | 0.017019 |
| 102 | Montenegro | 24.9 | 10.408199 | 0.134405 | 9.039871 | 1.233923 |
| 103 | Morocco | 25.6 | 1.321111 | 0.023312 | 1.262575 | 0.035225 |
| 104 | Mozambique | 6.0 | 0.141539 | 0.001447 | 0.085959 | 0.054133 |
| 106 | Namibia | 15.0 | 1.371271 | 0.014601 | 1.312830 | 0.043841 |
| 107 | Nepal | 3.8 | 0.906141 | 0.006784 | 0.892826 | 0.006531 |
| 108 | Netherlands | 23.1 | 5.815292 | 0.082830 | 0.076063 | 5.656398 |
| 110 | New Zealand | 32.0 | 0.046521 | 0.000501 | 0.044696 | 0.001323 |
| 111 | Nicaragua | 21.8 | 0.095497 | 0.002577 | 0.064054 | 0.028866 |
| 112 | Niger | 4.7 | 0.019009 | 0.000682 | 0.016330 | 0.001997 |
| 113 | Nigeria | 7.8 | 0.067547 | 0.000799 | 0.054602 | 0.012146 |
| 114 | North Macedonia | 23.9 | 4.548029 | 0.140192 | 4.025721 | 0.382115 |
| 115 | Norway | 25.0 | 1.200167 | 0.010804 | 0.334101 | 0.855263 |
| 116 | Oman | 22.9 | 2.865288 | 0.032506 | 2.700318 | 0.132463 |
| 117 | Pakistan | 7.8 | 0.250961 | 0.005416 | 0.230941 | 0.014604 |
| 118 | Panama | 22.5 | 7.622321 | 0.127364 | 6.773850 | 0.721107 |
| 119 | Paraguay | 19.0 | 1.896664 | 0.038691 | 1.562591 | 0.295382 |
| 120 | Peru | 19.1 | 3.573742 | 0.127751 | 3.310514 | 0.135477 |
| 121 | Philippines | 6.0 | 0.488699 | 0.010139 | 0.445757 | 0.032803 |
| 122 | Poland | 25.6 | 4.028175 | 0.101632 | 3.392335 | 0.534208 |
| 123 | Portugal | 23.2 | 7.429605 | 0.136070 | 5.846836 | 1.446699 |
| 124 | Republic of Moldova | 20.1 | 4.646195 | 0.099859 | 4.333692 | 0.212645 |
| 125 | Romania | 24.5 | 3.863328 | 0.097755 | 3.583358 | 0.182215 |
| 126 | Russian Federation | 25.7 | 2.663104 | 0.051120 | 2.316142 | 0.295842 |
| 127 | Rwanda | 4.8 | 0.126135 | 0.001675 | 0.093013 | 0.031447 |
| 128 | Saint Kitts and Nevis | 23.1 | 0.074074 | 0.000000 | 0.066667 | 0.007407 |
| 129 | Saint Lucia | 19.8 | 0.996154 | 0.009890 | 0.480769 | 0.505495 |
| 130 | Saint Vincent and the Grenadines | 23.8 | 1.082883 | 0.002703 | 0.361261 | 0.718919 |
| 131 | Samoa | 45.5 | 0.001000 | 0.000000 | 0.001000 | 0.000000 |
| 132 | Sao Tome and Principe | 10.6 | 0.643333 | 0.008571 | 0.504762 | 0.130000 |
| 133 | Saudi Arabia | 35.0 | 1.055795 | 0.018256 | 1.030898 | 0.006641 |
| 134 | Senegal | 7.4 | 0.170145 | 0.004031 | 0.139107 | 0.027007 |
| 135 | Serbia | 23.5 | 5.840908 | 0.059106 | 0.000000 | 5.781803 |
| 136 | Sierra Leone | 7.5 | 0.047286 | 0.000990 | 0.030738 | 0.015557 |
| 137 | Slovakia | 22.4 | 4.792640 | 0.094013 | 4.361424 | 0.337202 |
| 138 | Slovenia | 22.5 | 8.235901 | 0.171755 | 7.312934 | 0.751213 |
| 139 | Solomon Islands | 20.5 | 0.002378 | 0.000000 | 0.001399 | 0.000979 |
| 140 | South Africa | 27.0 | 2.471490 | 0.077447 | 2.248100 | 0.145943 |
| 141 | Spain | 27.1 | 6.176110 | 0.128867 | 0.315684 | 5.731559 |
| 142 | Sri Lanka | 5.4 | 0.312604 | 0.001600 | 0.285335 | 0.025669 |
| 143 | Sudan | 7.4 | 0.067582 | 0.004176 | 0.049702 | 0.013704 |
| 144 | Suriname | 26.5 | 1.429752 | 0.026446 | 1.318017 | 0.085289 |
| 145 | Sweden | 22.1 | 5.666975 | 0.116749 | 0.000000 | 5.550226 |
| 146 | Switzerland | 21.2 | 6.160215 | 0.111258 | 3.678480 | 2.370477 |
| 148 | Tajikistan | 12.6 | 0.141139 | 0.000955 | 0.140185 | 0.000000 |
| 149 | Thailand | 10.8 | 0.035126 | 0.000119 | 0.025464 | 0.009544 |
| 150 | Timor-Leste | 2.9 | 0.006070 | 0.000000 | 0.004628 | 0.001442 |
| 151 | Togo | 7.1 | 0.065660 | 0.000954 | 0.054777 | 0.009929 |
| 152 | Trinidad and Tobago | 19.7 | 0.556026 | 0.009861 | 0.529949 | 0.016216 |
| 153 | Tunisia | 27.3 | 1.817216 | 0.060205 | 1.453304 | 0.303707 |
| 154 | Turkey | 32.2 | 3.015138 | 0.031868 | 2.881050 | 0.102220 |
| 156 | Uganda | 4.1 | 0.087058 | 0.000715 | 0.031370 | 0.054973 |
| 157 | Ukraine | 26.1 | 3.075923 | 0.059206 | 2.653382 | 0.363335 |
| 158 | United Arab Emirates | 29.9 | 3.307445 | 0.009348 | 3.079168 | 0.218930 |
| 159 | United Kingdom | 29.5 | 5.868483 | 0.167220 | 0.015161 | 5.686102 |
| 160 | United Republic of Tanzania | 7.1 | 0.000852 | 0.000035 | 0.000306 | 0.000511 |
| 161 | United States of America | 37.3 | 8.159922 | 0.140103 | 0.000000 | 8.019819 |
| 162 | Uruguay | 28.9 | 1.269102 | 0.013622 | 1.089465 | 0.166015 |
| 163 | Uzbekistan | 15.3 | 0.231302 | 0.001817 | 0.226751 | 0.002733 |
| 164 | Vanuatu | 23.5 | 0.000312 | 0.000000 | 0.000312 | 0.000000 |
| 165 | Venezuela (Bolivarian Republic of) | 25.2 | 0.452585 | 0.004287 | 0.424399 | 0.023899 |
| 166 | Vietnam | 2.1 | 0.002063 | 0.000036 | 0.001526 | 0.000501 |
| 167 | Yemen | 14.1 | 0.007131 | 0.002062 | 0.004788 | 0.000282 |
| 168 | Zambia | 6.5 | 0.334133 | 0.004564 | 0.290524 | 0.039045 |
| 169 | Zimbabwe | 12.3 | 0.232033 | 0.008854 | 0.190964 | 0.032214 |
plt.figure(figsize = (12, 8))
x = np.array(covid_obesity_df['Obesity'])
y = np.array(covid_obesity_df['Deaths'])
plt.plot(x, y, 'o', color = 'red')
# Linear Regression using Polyfit
m, b = np.polyfit(x, y, 1)
plt.plot(x, (m * x) + b, color = 'black')
plt.grid()
plt.title("Obesity Rates vs. COVID-19 Deaths", fontsize = 20)
plt.ylabel("Deaths", fontsize = 18)
plt.xlabel("Obesity", fontsize = 18)
Text(0.5, 0, 'Obesity')
# Print Regression Results for Obesity
regression_results = sm.ols(formula = 'Deaths ~ Obesity', data = covid_obesity_df).fit()
# Create first parameter for linear regression model
first_param = [[x] for x in covid_obesity_df['Obesity']]
# Create second parameter for linear regression model
second_param = [[y] for y in covid_obesity_df['Deaths']]
# Create a variable to call the linearRegression import above
lin_regression = linear_model.LinearRegression()
# Create variable to store linear regression model data
lin_reg_model = lin_regression.fit(first_param, second_param)
# Create coefficient for the above variable
format_one = lin_reg_model.coef_[0]
#Obtain y-intercept of above variable
format_two = lin_reg_model.intercept_
# Print the data for the fitted model
print (regression_results.summary())
# Print new line for spacing purposes
print ()
# prints the output in slope intercept form
print ("Linear Regression Model (Slope Intercept Form): Y = {0}x + {1}".format(format_one, format_two))
# Print new line for spacing purposes
print ()
# Find the p-value
slope, intercept, r_value, p_value, stderr = stats.linregress(covid_obesity_df['Obesity'], covid_obesity_df['Deaths'])
# Print the p-value
print ("The p-Value is: ", p_value, ", which is = 0.00000000006530504174828157")
OLS Regression Results
==============================================================================
Dep. Variable: Deaths R-squared: 0.233
Model: OLS Adj. R-squared: 0.229
Method: Least Squares F-statistic: 49.01
Date: Tue, 14 Dec 2021 Prob (F-statistic): 6.53e-11
Time: 17:13:13 Log-Likelihood: 283.24
No. Observations: 163 AIC: -562.5
Df Residuals: 161 BIC: -556.3
Df Model: 1
Covariance Type: nonrobust
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept -0.0072 0.007 -0.958 0.340 -0.022 0.008
Obesity 0.0025 0.000 7.001 0.000 0.002 0.003
==============================================================================
Omnibus: 16.002 Durbin-Watson: 2.047
Prob(Omnibus): 0.000 Jarque-Bera (JB): 17.638
Skew: 0.776 Prob(JB): 0.000148
Kurtosis: 3.436 Cond. No. 46.7
==============================================================================
Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
Linear Regression Model (Slope Intercept Form): Y = [0.00250087]x + [-0.00715848]
The p-Value is: 6.530504174828157e-11 , which is = 0.00000000006530504174828157
Observations After Evaluation #1
We have provided a table illustrating the data on obesity rates and COVID-19 deaths in various different countries around the world. Additionally, we have provided a scatter plot which illustrates the relation between obesity rates and COVID-19 deaths. Lastly, we have provided OLS regression results that stem from data from the table we created above. As you can see, we determined the p-value from the results of our calculations. The p-value for a statistical model is the probability that when the null hypothesis is true, the statistical summary is equal to or greater than the actual observed results. In this case, the p-value we calculated is 0.00000000006530504174828157. Subsequently, this value is less than 0.05, which infers that it is statistically significant. It indicates strong evidence against the null hypothesis, as there is less than a 5% probability that the null hypothesis is correct. Therefore, we reject the null hypothesis and accept the alternative hypothesis, which concludes that there is a significant correlation between obesity rates and COVID-19 deaths in each country globally from our dataset.
Evaluation #2: Does Undernourishment Lead To An Increased Chance Of Death From COVID-19 Or Not
Undernourishment continues to be one of the leading causes of death worldwide. "Poor nutrition and hunger is responsible for the death of 3.1 million children a year. That's nearly half of all deaths in children under the age of 5. Globally, 822 million people suffer from undernourishment" (The World Counts). As previously mentioned above, COVID-19 is a infectious respiratory disease, so one would expect that people with poor nutritional diets who result in undernourishment would be at greater risk of infection and death. To test whether there is or is not a correlation between undernourishment and COVID-19 deaths, we took the undernourished rates of various countries and compared them to the number of COVID-19 deaths of each country and performed a linear regression on the plot. We used a linear regression because if there was a correlation, it would intuitively be a linear relation. As shown below, these are the result of our calculations regarding undernourishment and COVID-19 deaths.
Null Hypothesis: Undernourishment Rates have no correlation between COVID-19 deaths around the world for each country in the dataset.
Alternate Hypothesis: Undernourishment Rates have a strong significant correlation between undernourishment and COVID-19 deaths around the world for each country.
# Drop all necessary columns except the ones that have a direct relation to COVID-19 tests, deaths, and undernourishment
covid_undernourished_df = covid_df.drop(['Alcoholic Beverages', 'Animal Products', 'Animal fats', 'Aquatic Products, Other',
'Cereals - Excluding Beer', 'Eggs', 'Fish, Seafood', 'Fruits - Excluding Wine', 'Meat',
'Miscellaneous', 'Milk - Excluding Butter', 'Offals', 'Oilcrops', 'Pulses', 'Spices',
'Starchy Roots', 'Stimulants', 'Sugar Crops', 'Sugar & Sweeteners', 'Treenuts',
'Vegetal Products', 'Vegetable Oils', 'Vegetables', 'Obesity', 'Population',
'Unit (all except Population)'], axis = 1)
# Drop any rows of data that contain missing values or 'NaN' values
covid_undernourished_df = covid_undernourished_df.dropna(how = 'any', thresh = None, subset = ['Undernourished', 'Deaths'],
inplace = False)
# Delete all occurences of '<' so data will only be represented with whole numbers (not str characters)
covid_undernourished_df['Undernourished'] = covid_undernourished_df['Undernourished'].str.replace('<', '')
# Convert all data in the 'Undernourished' into float representation
covid_undernourished_df['Undernourished'] = pd.to_numeric(covid_undernourished_df['Undernourished'], downcast = 'float')
# Print new table
covid_undernourished_df
| Country | Undernourished | Confirmed | Deaths | Recovered | Active | |
|---|---|---|---|---|---|---|
| 0 | Afghanistan | 29.799999 | 0.142134 | 0.006186 | 0.123374 | 0.012574 |
| 1 | Albania | 6.200000 | 2.967301 | 0.050951 | 1.792636 | 1.123714 |
| 2 | Algeria | 3.900000 | 0.244897 | 0.006558 | 0.167572 | 0.070767 |
| 3 | Angola | 25.000000 | 0.061687 | 0.001461 | 0.056808 | 0.003419 |
| 5 | Argentina | 4.600000 | 4.356147 | 0.108227 | 3.905192 | 0.342729 |
| 6 | Armenia | 4.300000 | 5.681225 | 0.105345 | 5.398410 | 0.177470 |
| 7 | Australia | 2.500000 | 0.112025 | 0.003530 | 0.101289 | 0.007207 |
| 8 | Austria | 2.500000 | 4.739982 | 0.089679 | 4.496870 | 0.153433 |
| 9 | Azerbaijan | 2.500000 | 2.285536 | 0.031223 | 2.225574 | 0.028740 |
| 11 | Bangladesh | 14.700000 | 0.316691 | 0.004823 | 0.284344 | 0.027524 |
| 12 | Barbados | 3.900000 | 0.583972 | 0.006272 | 0.470035 | 0.107666 |
| 13 | Belarus | 2.500000 | 2.740896 | 0.018912 | 2.612704 | 0.109280 |
| 14 | Belgium | 2.500000 | 6.286322 | 0.185428 | 0.000000 | 6.100894 |
| 15 | Belize | 7.500000 | 2.872792 | 0.073031 | 2.739618 | 0.060143 |
| 16 | Benin | 10.100000 | 0.034344 | 0.000450 | 0.029183 | 0.004710 |
| 17 | Bolivia | 17.100000 | 1.952446 | 0.092435 | 1.438614 | 0.421396 |
| 18 | Bosnia and Herzegovina | 2.500000 | 3.762085 | 0.145535 | 2.960317 | 0.656233 |
| 19 | Botswana | 26.400000 | 1.014372 | 0.007035 | 0.844799 | 0.162538 |
| 20 | Brazil | 2.500000 | 4.460165 | 0.108603 | 3.979469 | 0.372094 |
| 21 | Bulgaria | 3.600000 | 3.227256 | 0.134416 | 2.788956 | 0.303883 |
| 22 | Burkina Faso | 20.000000 | 0.053710 | 0.000641 | 0.048031 | 0.005038 |
| 23 | Cabo Verde | 12.600000 | 2.586331 | 0.024281 | 2.461151 | 0.100899 |
| 24 | Cambodia | 16.400000 | 0.003059 | 0.000000 | 0.002930 | 0.000129 |
| 25 | Cameroon | 9.900000 | 0.118031 | 0.001782 | 0.110914 | 0.005335 |
| 26 | Canada | 2.500000 | 2.109961 | 0.054203 | 1.909848 | NaN |
| 27 | Central African Republic | 59.599998 | 0.103292 | 0.001304 | 0.101139 | 0.000849 |
| 28 | Chad | 37.500000 | 0.020578 | 0.000741 | 0.016881 | 0.002957 |
| 29 | Chile | 2.700000 | 3.842229 | 0.097047 | 3.626194 | NaN |
| 30 | China | 8.500000 | 0.007156 | 0.000344 | 0.006685 | 0.000126 |
| 31 | Colombia | 4.800000 | 4.350795 | 0.112639 | 4.090144 | 0.148012 |
| 32 | Congo | 40.299999 | 0.571675 | 0.014516 | 0.379721 | 0.177437 |
| 33 | Costa Rica | 4.800000 | 3.843436 | 0.052279 | 3.055782 | 0.735375 |
| 34 | Cote d'Ivoire | 19.000000 | 0.112959 | 0.000619 | 0.106105 | 0.006235 |
| 35 | Croatia | 2.500000 | 5.848905 | 0.127960 | 5.648706 | 0.072239 |
| 36 | Cuba | 2.500000 | 0.283760 | 0.002065 | 0.230822 | 0.050873 |
| 37 | Cyprus | 5.600000 | 2.621707 | 0.017481 | 0.170423 | 2.433803 |
| 38 | Czechia | 2.500000 | 9.612841 | 0.159845 | 8.555328 | 0.897667 |
| 39 | Denmark | 2.500000 | 3.463218 | 0.038017 | 3.307360 | 0.117842 |
| 40 | Djibouti | 18.900000 | 0.601316 | 0.006377 | 0.592308 | 0.002632 |
| 41 | Dominica | 6.200000 | 0.168056 | 0.000000 | 0.152778 | 0.015278 |
| 42 | Dominican Republic | 9.500000 | 2.115695 | 0.026676 | 1.577705 | 0.511314 |
| 43 | Ecuador | 7.900000 | 1.468306 | 0.085683 | 1.198184 | 0.184438 |
| 44 | Egypt | 4.500000 | 0.167759 | 0.009527 | 0.131002 | 0.027229 |
| 45 | El Salvador | 9.000000 | 0.867721 | 0.025814 | 0.778136 | 0.063771 |
| 46 | Estonia | 2.900000 | 3.569647 | 0.034260 | 2.828550 | 0.706837 |
| 47 | Eswatini | 20.600000 | 1.465670 | 0.054710 | 1.038859 | 0.372101 |
| 48 | Ethiopia | 20.600000 | 0.123093 | 0.001867 | 0.109237 | 0.011989 |
| 49 | Fiji | 3.700000 | 0.006250 | 0.000223 | 0.005915 | 0.000112 |
| 50 | Finland | 2.500000 | 0.854802 | 0.012443 | 0.560680 | 0.281678 |
| 51 | France | 2.500000 | 5.199055 | 0.121558 | 0.367877 | 4.709620 |
| 53 | Gabon | 10.500000 | 0.513537 | 0.003182 | 0.483953 | 0.026401 |
| 54 | Gambia | 10.200000 | 0.175300 | 0.005544 | 0.160778 | 0.008978 |
| 55 | Georgia | 7.900000 | 7.042261 | 0.087995 | 6.805249 | 0.149017 |
| 56 | Germany | 2.500000 | 2.743101 | 0.073891 | 2.451366 | 0.217844 |
| 57 | Ghana | 5.500000 | 0.225424 | 0.001445 | 0.204364 | 0.019615 |
| 58 | Greece | 2.500000 | 1.525355 | 0.055617 | 0.876299 | 0.593439 |
| 60 | Guatemala | 15.200000 | 0.901899 | 0.032403 | 0.824294 | 0.045201 |
| 61 | Guinea | 16.500000 | 0.116760 | 0.000669 | 0.114013 | 0.002078 |
| 62 | Guinea-Bissau | 28.000000 | 0.143851 | 0.002387 | 0.125947 | 0.015516 |
| 63 | Guyana | 8.100000 | 1.008767 | 0.022872 | 0.884625 | 0.101271 |
| 64 | Haiti | 49.299999 | 0.103113 | 0.002149 | 0.080295 | 0.020670 |
| 65 | Honduras | 12.900000 | 1.560270 | 0.037612 | 0.626369 | 0.896290 |
| 66 | Hungary | 2.500000 | 3.840739 | 0.133367 | 2.845797 | 0.861575 |
| 67 | Iceland | 2.500000 | 1.636141 | 0.007880 | 1.619293 | 0.008967 |
| 68 | India | 14.500000 | 0.773256 | 0.011070 | 0.751561 | 0.010625 |
| 69 | Indonesia | 8.300000 | 0.422100 | 0.011553 | 0.345620 | 0.064927 |
| 70 | Iran (Islamic Republic of) | 4.900000 | 1.734248 | 0.069414 | 1.482322 | 0.182512 |
| 71 | Iraq | 29.000000 | 1.579398 | 0.033004 | 1.508287 | 0.038107 |
| 72 | Ireland | 2.500000 | 4.048531 | 0.073436 | 0.467000 | 3.508095 |
| 73 | Israel | 2.500000 | 7.439052 | 0.055024 | 6.609635 | 0.774392 |
| 74 | Italy | 2.500000 | 4.353685 | 0.150927 | 3.494529 | 0.708229 |
| 75 | Jamaica | 8.000000 | 0.599537 | 0.012709 | 0.435208 | 0.151620 |
| 76 | Japan | 2.500000 | 0.320821 | 0.005059 | 0.284770 | 0.030991 |
| 77 | Jordan | 12.200000 | 3.126276 | 0.040912 | 2.991760 | 0.093604 |
| 78 | Kazakhstan | 2.500000 | 1.299402 | 0.016651 | 1.137764 | 0.144987 |
| 79 | Kenya | 29.400000 | 0.189975 | 0.003318 | 0.157491 | 0.029166 |
| 82 | Korea, South | 2.500000 | 0.156227 | 0.002841 | 0.136855 | 0.016531 |
| 83 | Kuwait | 2.800000 | 3.624728 | 0.020550 | 3.434087 | 0.170092 |
| 84 | Kyrgyzstan | 7.100000 | 1.288929 | 0.021580 | 1.236609 | 0.030740 |
| 85 | Lao People's Democratic Republic | 16.500000 | 0.000621 | 0.000000 | 0.000566 | 0.000055 |
| 86 | Latvia | 2.500000 | 3.749737 | 0.069769 | 3.122976 | 0.556993 |
| 87 | Lebanon | 11.000000 | 4.656938 | 0.052190 | 2.947062 | 1.657685 |
| 88 | Lesotho | 13.100000 | 0.437908 | 0.008543 | 0.126331 | 0.303035 |
| 89 | Liberia | 37.200001 | 0.038671 | 0.001661 | 0.034994 | 0.002017 |
| 90 | Lithuania | 2.500000 | 6.667072 | 0.104760 | 4.939621 | 1.622691 |
| 91 | Luxembourg | 2.500000 | 8.150633 | 0.093354 | 7.661551 | 0.395728 |
| 92 | Madagascar | 44.400002 | 0.068849 | 0.001015 | 0.065779 | 0.002055 |
| 93 | Malawi | 17.500000 | 0.140486 | 0.004375 | 0.059320 | 0.076790 |
| 94 | Malaysia | 2.500000 | 0.728230 | 0.002614 | 0.570361 | 0.155255 |
| 95 | Maldives | 10.300000 | 3.078743 | 0.009982 | 2.690573 | 0.378189 |
| 96 | Mali | 6.300000 | 0.040294 | 0.001669 | 0.029895 | 0.008730 |
| 97 | Malta | 2.500000 | 3.558621 | 0.053448 | 3.045211 | 0.459962 |
| 98 | Mauritania | 10.400000 | 0.361118 | 0.009140 | 0.343763 | 0.008215 |
| 99 | Mauritius | 6.500000 | 0.046166 | 0.000791 | 0.042688 | 0.002688 |
| 100 | Mexico | 3.600000 | 1.507199 | 0.129731 | 1.159805 | 0.217663 |
| 101 | Mongolia | 13.400000 | 0.060190 | 0.000060 | 0.043112 | 0.017019 |
| 102 | Montenegro | 2.500000 | 10.408199 | 0.134405 | 9.039871 | 1.233923 |
| 103 | Morocco | 3.400000 | 1.321111 | 0.023312 | 1.262575 | 0.035225 |
| 104 | Mozambique | 27.900000 | 0.141539 | 0.001447 | 0.085959 | 0.054133 |
| 106 | Namibia | 27.299999 | 1.371271 | 0.014601 | 1.312830 | 0.043841 |
| 107 | Nepal | 8.700000 | 0.906141 | 0.006784 | 0.892826 | 0.006531 |
| 108 | Netherlands | 2.500000 | 5.815292 | 0.082830 | 0.076063 | 5.656398 |
| 110 | New Zealand | 2.500000 | 0.046521 | 0.000501 | 0.044696 | 0.001323 |
| 111 | Nicaragua | 17.000000 | 0.095497 | 0.002577 | 0.064054 | 0.028866 |
| 112 | Niger | 16.500000 | 0.019009 | 0.000682 | 0.016330 | 0.001997 |
| 113 | Nigeria | 13.400000 | 0.067547 | 0.000799 | 0.054602 | 0.012146 |
| 114 | North Macedonia | 3.200000 | 4.548029 | 0.140192 | 4.025721 | 0.382115 |
| 115 | Norway | 2.500000 | 1.200167 | 0.010804 | 0.334101 | 0.855263 |
| 116 | Oman | 6.800000 | 2.865288 | 0.032506 | 2.700318 | 0.132463 |
| 117 | Pakistan | 20.299999 | 0.250961 | 0.005416 | 0.230941 | 0.014604 |
| 118 | Panama | 10.000000 | 7.622321 | 0.127364 | 6.773850 | 0.721107 |
| 119 | Paraguay | 10.700000 | 1.896664 | 0.038691 | 1.562591 | 0.295382 |
| 120 | Peru | 9.700000 | 3.573742 | 0.127751 | 3.310514 | 0.135477 |
| 121 | Philippines | 13.300000 | 0.488699 | 0.010139 | 0.445757 | 0.032803 |
| 122 | Poland | 2.500000 | 4.028175 | 0.101632 | 3.392335 | 0.534208 |
| 123 | Portugal | 2.500000 | 7.429605 | 0.136070 | 5.846836 | 1.446699 |
| 125 | Romania | 2.500000 | 3.863328 | 0.097755 | 3.583358 | 0.182215 |
| 126 | Russian Federation | 2.500000 | 2.663104 | 0.051120 | 2.316142 | 0.295842 |
| 127 | Rwanda | 36.799999 | 0.126135 | 0.001675 | 0.093013 | 0.031447 |
| 130 | Saint Vincent and the Grenadines | 5.700000 | 1.082883 | 0.002703 | 0.361261 | 0.718919 |
| 131 | Samoa | 2.700000 | 0.001000 | 0.000000 | 0.001000 | 0.000000 |
| 132 | Sao Tome and Principe | 7.000000 | 0.643333 | 0.008571 | 0.504762 | 0.130000 |
| 133 | Saudi Arabia | 7.100000 | 1.055795 | 0.018256 | 1.030898 | 0.006641 |
| 134 | Senegal | 11.300000 | 0.170145 | 0.004031 | 0.139107 | 0.027007 |
| 135 | Serbia | 5.700000 | 5.840908 | 0.059106 | 0.000000 | 5.781803 |
| 136 | Sierra Leone | 25.600000 | 0.047286 | 0.000990 | 0.030738 | 0.015557 |
| 137 | Slovakia | 3.400000 | 4.792640 | 0.094013 | 4.361424 | 0.337202 |
| 138 | Slovenia | 2.500000 | 8.235901 | 0.171755 | 7.312934 | 0.751213 |
| 139 | Solomon Islands | 8.900000 | 0.002378 | 0.000000 | 0.001399 | 0.000979 |
| 140 | South Africa | 6.200000 | 2.471490 | 0.077447 | 2.248100 | 0.145943 |
| 141 | Spain | 2.500000 | 6.176110 | 0.128867 | 0.315684 | 5.731559 |
| 142 | Sri Lanka | 9.000000 | 0.312604 | 0.001600 | 0.285335 | 0.025669 |
| 143 | Sudan | 20.100000 | 0.067582 | 0.004176 | 0.049702 | 0.013704 |
| 144 | Suriname | 8.500000 | 1.429752 | 0.026446 | 1.318017 | 0.085289 |
| 145 | Sweden | 2.500000 | 5.666975 | 0.116749 | 0.000000 | 5.550226 |
| 146 | Switzerland | 2.500000 | 6.160215 | 0.111258 | 3.678480 | 2.370477 |
| 147 | Taiwan* | 3.500000 | 0.003914 | 0.000038 | 0.003571 | 0.000305 |
| 149 | Thailand | 7.800000 | 0.035126 | 0.000119 | 0.025464 | 0.009544 |
| 150 | Timor-Leste | 24.900000 | 0.006070 | 0.000000 | 0.004628 | 0.001442 |
| 151 | Togo | 16.100000 | 0.065660 | 0.000954 | 0.054777 | 0.009929 |
| 152 | Trinidad and Tobago | 5.500000 | 0.556026 | 0.009861 | 0.529949 | 0.016216 |
| 153 | Tunisia | 4.300000 | 1.817216 | 0.060205 | 1.453304 | 0.303707 |
| 154 | Turkey | 2.500000 | 3.015138 | 0.031868 | 2.881050 | 0.102220 |
| 156 | Uganda | 41.000000 | 0.087058 | 0.000715 | 0.031370 | 0.054973 |
| 157 | Ukraine | 3.500000 | 3.075923 | 0.059206 | 2.653382 | 0.363335 |
| 158 | United Arab Emirates | 2.600000 | 3.307445 | 0.009348 | 3.079168 | 0.218930 |
| 159 | United Kingdom | 2.500000 | 5.868483 | 0.167220 | 0.015161 | 5.686102 |
| 160 | United Republic of Tanzania | 30.700001 | 0.000852 | 0.000035 | 0.000306 | 0.000511 |
| 161 | United States of America | 2.500000 | 8.159922 | 0.140103 | 0.000000 | 8.019819 |
| 162 | Uruguay | 2.500000 | 1.269102 | 0.013622 | 1.089465 | 0.166015 |
| 163 | Uzbekistan | 6.300000 | 0.231302 | 0.001817 | 0.226751 | 0.002733 |
| 164 | Vanuatu | 7.200000 | 0.000312 | 0.000000 | 0.000312 | 0.000000 |
| 165 | Venezuela (Bolivarian Republic of) | 21.200001 | 0.452585 | 0.004287 | 0.424399 | 0.023899 |
| 166 | Vietnam | 9.300000 | 0.002063 | 0.000036 | 0.001526 | 0.000501 |
| 167 | Yemen | 38.900002 | 0.007131 | 0.002062 | 0.004788 | 0.000282 |
| 168 | Zambia | 46.700001 | 0.334133 | 0.004564 | 0.290524 | 0.039045 |
| 169 | Zimbabwe | 51.299999 | 0.232033 | 0.008854 | 0.190964 | 0.032214 |
plt.figure(figsize = (12, 8))
x = np.array(covid_undernourished_df['Undernourished'])
y = np.array(covid_undernourished_df['Deaths'])
plt.plot(x, y, 'o', color = 'red')
m, b = np.polyfit(x, y, 1)
plt.plot(x, (m * x) + b, color = 'black')
plt.grid()
plt.title("Undernourised Rates vs. COVID-19 Deaths", fontsize = 20)
plt.ylabel("Deaths", fontsize = 18)
plt.xlabel("Undernourised", fontsize = 18)
Text(0.5, 0, 'Undernourised')
# Print Regression Results for Undernourished
regression_results = sm.ols(formula = 'Deaths ~ Undernourished', data = covid_undernourished_df).fit()
# Create first parameter for linear regression model
first_param = [[x] for x in covid_undernourished_df['Undernourished']]
# Create second parameter for linear regression model
second_param = [[y] for y in covid_undernourished_df['Deaths']]
# Create a variable to call the linearRegression import above
lin_regression = linear_model.LinearRegression()
# Create variable to store linear regression model data
lin_reg_model = lin_regression.fit(first_param, second_param)
# Create coefficient for the above variable
format_one = lin_reg_model.coef_[0]
#Obtain y-intercept of above variable
format_two = lin_reg_model.intercept_
# Print the data for the fitted model
print (regression_results.summary())
# Print new line for spacing purposes
print ()
# prints the output in slope intercept form
print ("Linear Regression Model (Slopt Intercept Form): Y = {0}x + {1}".format(format_one, format_two))
# Print new line for spacing purposes
print ()
# Find the p-value
slope, intercept, r_value, p_value, stderr = stats.linregress(covid_undernourished_df['Undernourished'],
covid_undernourished_df['Deaths'])
# Print the p-value
print ("The p-Value is: ", p_value, ", which is = 0.00000002243538027485908")
OLS Regression Results
==============================================================================
Dep. Variable: Deaths R-squared: 0.183
Model: OLS Adj. R-squared: 0.178
Method: Least Squares F-statistic: 34.77
Date: Tue, 14 Dec 2021 Prob (F-statistic): 2.24e-08
Time: 17:13:13 Log-Likelihood: 266.67
No. Observations: 157 AIC: -529.3
Df Residuals: 155 BIC: -523.2
Df Model: 1
Covariance Type: nonrobust
==================================================================================
coef std err t P>|t| [0.025 0.975]
----------------------------------------------------------------------------------
Intercept 0.0601 0.005 12.223 0.000 0.050 0.070
Undernourished -0.0018 0.000 -5.897 0.000 -0.002 -0.001
==============================================================================
Omnibus: 16.312 Durbin-Watson: 2.068
Prob(Omnibus): 0.000 Jarque-Bera (JB): 19.242
Skew: 0.852 Prob(JB): 6.63e-05
Kurtosis: 2.805 Cond. No. 22.4
==============================================================================
Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
Linear Regression Model (Slopt Intercept Form): Y = [-0.00179543]x + [0.06012591]
The p-Value is: 2.243538027485908e-08 , which is = 0.00000002243538027485908
Observations After Evaluation #2
We have provided a table illustrating the data on undernourishment rates and COVID-19 deaths in various different countries around the world. Additionally, we have provided a scatter plot which illustrates the relation between undernourishment rates and COVID-19 deaths. Lastly, we have provided OLS regression results that stem from data from the table we created above. As you can see, we determined the p-value from the results of our calculations. The p-value for a statistical model is the probability that when the null hypothesis is true, the statistical summary is equal to or greater than the actual observed results. In this case, the p-value we calculated is 0.00000002243538027485908. Subsequently, this value is less than 0.05, which infers that it is statistically significant. It indicates strong evidence against the null hypothesis, as there is less than a 5% probability that the null hypothesis is correct. Therefore, we reject the null hypothesis and accept the alternative hypothesis, which concludes that there is a significant correlation between undernourishment rates and COVID-19 deaths in each country around the world from our dataset.
Evaluation #3: Does Eating Vegetables Lead To An Increased Chance Of Death From COVID-19 Or Not?
Consuming nutritious meals is one meaningful way to elevate one's immune system. Vegetables are high in vitamins, minerals, fiber, and antioxidants. Additionally, they provide nutrients such as beta-carotene, vitamin C, and vitamin E, which can boost immune function. As previously mentioned above, COVID-19 is a infectious respiratory disease, so one would expect that people with great nutritional diets who result in vast vegetable consumption would be at lesser risk of infection and death. Is this true or does the COVID-19 virus make no difference on the type of diet someone is on? To test whether there is or is not a correlation between vegetable consumption and COVID-19 deaths, we took the vegetable consumption rates of various countries and compared them to the number of COVID-19 deaths of each country and performed a linear regression on the plot. We used a linear regression because if there was a correlation, it would intuitively be a linear relation. As shown below, these are the result of our calculations regarding vegetable consumption and COVID-19 deaths.
Null Hypothesis: Vegetable Consumption Rates have no correlation between COVID-19 deaths around the world for each country in the dataset.
Alternate Hypothesis: Vegetable Consumption Rates have a strong significant correlation between vegetable consumption and COVID-19 deaths around the world for each country.
# Drop all necessary columns except the ones that have a direct relation to COVID-19 tests, deaths, and vegetables
covid_vegetables_df = covid_df.drop(['Alcoholic Beverages', 'Animal fats', 'Animal Products', 'Aquatic Products, Other',
'Cereals - Excluding Beer', 'Eggs', 'Fish, Seafood', 'Fruits - Excluding Wine', 'Meat',
'Miscellaneous', 'Milk - Excluding Butter', 'Offals', 'Oilcrops', 'Pulses', 'Spices',
'Starchy Roots', 'Stimulants', 'Sugar Crops', 'Sugar & Sweeteners', 'Treenuts',
'Vegetal Products', 'Vegetable Oils', 'Obesity', 'Undernourished',
'Population',
'Unit (all except Population)'], axis = 1)
# Drop any rows of data that contain missing values or 'NaN' values
covid_vegetables_df = covid_vegetables_df.dropna(how = 'any', thresh = None,
subset = ['Vegetables', 'Deaths'], inplace = False)
# Print new table
covid_vegetables_df
| Country | Vegetables | Confirmed | Deaths | Recovered | Active | |
|---|---|---|---|---|---|---|
| 0 | Afghanistan | 0.3593 | 0.142134 | 0.006186 | 0.123374 | 0.012574 |
| 1 | Albania | 0.6503 | 2.967301 | 0.050951 | 1.792636 | 1.123714 |
| 2 | Algeria | 0.5145 | 0.244897 | 0.006558 | 0.167572 | 0.070767 |
| 3 | Angola | 0.1231 | 0.061687 | 0.001461 | 0.056808 | 0.003419 |
| 4 | Antigua and Barbuda | 0.2469 | 0.293878 | 0.007143 | 0.190816 | 0.095918 |
| 5 | Argentina | 0.1878 | 4.356147 | 0.108227 | 3.905192 | 0.342729 |
| 6 | Armenia | 0.8717 | 5.681225 | 0.105345 | 5.398410 | 0.177470 |
| 7 | Australia | 0.2144 | 0.112025 | 0.003530 | 0.101289 | 0.007207 |
| 8 | Austria | 0.2039 | 4.739982 | 0.089679 | 4.496870 | 0.153433 |
| 9 | Azerbaijan | 0.6534 | 2.285536 | 0.031223 | 2.225574 | 0.028740 |
| 10 | Bahamas | 0.3974 | 2.100763 | 0.044784 | 1.735115 | 0.320865 |
| 11 | Bangladesh | 0.3092 | 0.316691 | 0.004823 | 0.284344 | 0.027524 |
| 12 | Barbados | 0.2534 | 0.583972 | 0.006272 | 0.470035 | 0.107666 |
| 13 | Belarus | 0.3394 | 2.740896 | 0.018912 | 2.612704 | 0.109280 |
| 14 | Belgium | 0.2982 | 6.286322 | 0.185428 | 0.000000 | 6.100894 |
| 15 | Belize | 0.2108 | 2.872792 | 0.073031 | 2.739618 | 0.060143 |
| 16 | Benin | 0.3612 | 0.034344 | 0.000450 | 0.029183 | 0.004710 |
| 17 | Bolivia | 0.1919 | 1.952446 | 0.092435 | 1.438614 | 0.421396 |
| 18 | Bosnia and Herzegovina | 0.7866 | 3.762085 | 0.145535 | 2.960317 | 0.656233 |
| 19 | Botswana | 0.1850 | 1.014372 | 0.007035 | 0.844799 | 0.162538 |
| 20 | Brazil | 0.1204 | 4.460165 | 0.108603 | 3.979469 | 0.372094 |
| 21 | Bulgaria | 0.2461 | 3.227256 | 0.134416 | 2.788956 | 0.303883 |
| 22 | Burkina Faso | 0.0665 | 0.053710 | 0.000641 | 0.048031 | 0.005038 |
| 23 | Cabo Verde | 0.3066 | 2.586331 | 0.024281 | 2.461151 | 0.100899 |
| 24 | Cambodia | 0.2591 | 0.003059 | 0.000000 | 0.002930 | 0.000129 |
| 25 | Cameroon | 0.5505 | 0.118031 | 0.001782 | 0.110914 | 0.005335 |
| 26 | Canada | 0.2220 | 2.109961 | 0.054203 | 1.909848 | NaN |
| 27 | Central African Republic | 0.0918 | 0.103292 | 0.001304 | 0.101139 | 0.000849 |
| 28 | Chad | 0.0263 | 0.020578 | 0.000741 | 0.016881 | 0.002957 |
| 29 | Chile | 0.2602 | 3.842229 | 0.097047 | 3.626194 | NaN |
| 30 | China | 0.5763 | 0.007156 | 0.000344 | 0.006685 | 0.000126 |
| 31 | Colombia | 0.1829 | 4.350795 | 0.112639 | 4.090144 | 0.148012 |
| 32 | Congo | 0.5827 | 0.571675 | 0.014516 | 0.379721 | 0.177437 |
| 33 | Costa Rica | 0.1701 | 3.843436 | 0.052279 | 3.055782 | 0.735375 |
| 34 | Cote d'Ivoire | 0.3272 | 0.112959 | 0.000619 | 0.106105 | 0.006235 |
| 35 | Croatia | 0.3930 | 5.848905 | 0.127960 | 5.648706 | 0.072239 |
| 36 | Cuba | 0.5554 | 0.283760 | 0.002065 | 0.230822 | 0.050873 |
| 37 | Cyprus | 0.2601 | 2.621707 | 0.017481 | 0.170423 | 2.433803 |
| 38 | Czechia | 0.1729 | 9.612841 | 0.159845 | 8.555328 | 0.897667 |
| 39 | Denmark | 0.2819 | 3.463218 | 0.038017 | 3.307360 | 0.117842 |
| 40 | Djibouti | 0.4572 | 0.601316 | 0.006377 | 0.592308 | 0.002632 |
| 41 | Dominica | 0.2309 | 0.168056 | 0.000000 | 0.152778 | 0.015278 |
| 42 | Dominican Republic | 0.1218 | 2.115695 | 0.026676 | 1.577705 | 0.511314 |
| 43 | Ecuador | 0.0840 | 1.468306 | 0.085683 | 1.198184 | 0.184438 |
| 44 | Egypt | 0.6600 | 0.167759 | 0.009527 | 0.131002 | 0.027229 |
| 45 | El Salvador | 0.4514 | 0.867721 | 0.025814 | 0.778136 | 0.063771 |
| 46 | Estonia | 0.2865 | 3.569647 | 0.034260 | 2.828550 | 0.706837 |
| 47 | Eswatini | 0.1956 | 1.465670 | 0.054710 | 1.038859 | 0.372101 |
| 48 | Ethiopia | 0.1305 | 0.123093 | 0.001867 | 0.109237 | 0.011989 |
| 49 | Fiji | 0.1732 | 0.006250 | 0.000223 | 0.005915 | 0.000112 |
| 50 | Finland | 0.2041 | 0.854802 | 0.012443 | 0.560680 | 0.281678 |
| 51 | France | 0.1776 | 5.199055 | 0.121558 | 0.367877 | 4.709620 |
| 53 | Gabon | 0.2045 | 0.513537 | 0.003182 | 0.483953 | 0.026401 |
| 54 | Gambia | 0.0746 | 0.175300 | 0.005544 | 0.160778 | 0.008978 |
| 55 | Georgia | 0.1999 | 7.042261 | 0.087995 | 6.805249 | 0.149017 |
| 56 | Germany | 0.2160 | 2.743101 | 0.073891 | 2.451366 | 0.217844 |
| 57 | Ghana | 0.2480 | 0.225424 | 0.001445 | 0.204364 | 0.019615 |
| 58 | Greece | 0.2848 | 1.525355 | 0.055617 | 0.876299 | 0.593439 |
| 59 | Grenada | 0.1077 | 0.130973 | 0.000885 | 0.129204 | 0.000885 |
| 60 | Guatemala | 0.2553 | 0.901899 | 0.032403 | 0.824294 | 0.045201 |
| 61 | Guinea | 0.7848 | 0.116760 | 0.000669 | 0.114013 | 0.002078 |
| 62 | Guinea-Bissau | 0.0794 | 0.143851 | 0.002387 | 0.125947 | 0.015516 |
| 63 | Guyana | 1.1538 | 1.008767 | 0.022872 | 0.884625 | 0.101271 |
| 64 | Haiti | 0.1241 | 0.103113 | 0.002149 | 0.080295 | 0.020670 |
| 65 | Honduras | 0.1157 | 1.560270 | 0.037612 | 0.626369 | 0.896290 |
| 66 | Hungary | 0.2019 | 3.840739 | 0.133367 | 2.845797 | 0.861575 |
| 67 | Iceland | 0.1678 | 1.636141 | 0.007880 | 1.619293 | 0.008967 |
| 68 | India | 0.3958 | 0.773256 | 0.011070 | 0.751561 | 0.010625 |
| 69 | Indonesia | 0.2711 | 0.422100 | 0.011553 | 0.345620 | 0.064927 |
| 70 | Iran (Islamic Republic of) | 0.5278 | 1.734248 | 0.069414 | 1.482322 | 0.182512 |
| 71 | Iraq | 0.1513 | 1.579398 | 0.033004 | 1.508287 | 0.038107 |
| 72 | Ireland | 0.2405 | 4.048531 | 0.073436 | 0.467000 | 3.508095 |
| 73 | Israel | 0.2857 | 7.439052 | 0.055024 | 6.609635 | 0.774392 |
| 74 | Italy | 0.2277 | 4.353685 | 0.150927 | 3.494529 | 0.708229 |
| 75 | Jamaica | 0.2924 | 0.599537 | 0.012709 | 0.435208 | 0.151620 |
| 76 | Japan | 0.3478 | 0.320821 | 0.005059 | 0.284770 | 0.030991 |
| 77 | Jordan | 0.2694 | 3.126276 | 0.040912 | 2.991760 | 0.093604 |
| 78 | Kazakhstan | 0.3497 | 1.299402 | 0.016651 | 1.137764 | 0.144987 |
| 79 | Kenya | 0.2107 | 0.189975 | 0.003318 | 0.157491 | 0.029166 |
| 82 | Korea, South | 0.6924 | 0.156227 | 0.002841 | 0.136855 | 0.016531 |
| 83 | Kuwait | 0.5055 | 3.624728 | 0.020550 | 3.434087 | 0.170092 |
| 84 | Kyrgyzstan | 0.7163 | 1.288929 | 0.021580 | 1.236609 | 0.030740 |
| 85 | Lao People's Democratic Republic | 1.1118 | 0.000621 | 0.000000 | 0.000566 | 0.000055 |
| 86 | Latvia | 0.2606 | 3.749737 | 0.069769 | 3.122976 | 0.556993 |
| 87 | Lebanon | 0.3736 | 4.656938 | 0.052190 | 2.947062 | 1.657685 |
| 88 | Lesotho | 0.1725 | 0.437908 | 0.008543 | 0.126331 | 0.303035 |
| 89 | Liberia | 0.1896 | 0.038671 | 0.001661 | 0.034994 | 0.002017 |
| 90 | Lithuania | 0.2579 | 6.667072 | 0.104760 | 4.939621 | 1.622691 |
| 91 | Luxembourg | 0.2634 | 8.150633 | 0.093354 | 7.661551 | 0.395728 |
| 92 | Madagascar | 0.1916 | 0.068849 | 0.001015 | 0.065779 | 0.002055 |
| 93 | Malawi | 0.2224 | 0.140486 | 0.004375 | 0.059320 | 0.076790 |
| 94 | Malaysia | 0.2359 | 0.728230 | 0.002614 | 0.570361 | 0.155255 |
| 95 | Maldives | 0.5183 | 3.078743 | 0.009982 | 2.690573 | 0.378189 |
| 96 | Mali | 0.3816 | 0.040294 | 0.001669 | 0.029895 | 0.008730 |
| 97 | Malta | 0.5162 | 3.558621 | 0.053448 | 3.045211 | 0.459962 |
| 98 | Mauritania | 0.1514 | 0.361118 | 0.009140 | 0.343763 | 0.008215 |
| 99 | Mauritius | 0.1751 | 0.046166 | 0.000791 | 0.042688 | 0.002688 |
| 100 | Mexico | 0.2429 | 1.507199 | 0.129731 | 1.159805 | 0.217663 |
| 101 | Mongolia | 0.1417 | 0.060190 | 0.000060 | 0.043112 | 0.017019 |
| 102 | Montenegro | 0.2578 | 10.408199 | 0.134405 | 9.039871 | 1.233923 |
| 103 | Morocco | 0.2953 | 1.321111 | 0.023312 | 1.262575 | 0.035225 |
| 104 | Mozambique | 0.1600 | 0.141539 | 0.001447 | 0.085959 | 0.054133 |
| 106 | Namibia | 0.1359 | 1.371271 | 0.014601 | 1.312830 | 0.043841 |
| 107 | Nepal | 0.6006 | 0.906141 | 0.006784 | 0.892826 | 0.006531 |
| 108 | Netherlands | 0.2355 | 5.815292 | 0.082830 | 0.076063 | 5.656398 |
| 110 | New Zealand | 0.2835 | 0.046521 | 0.000501 | 0.044696 | 0.001323 |
| 111 | Nicaragua | 0.1811 | 0.095497 | 0.002577 | 0.064054 | 0.028866 |
| 112 | Niger | 0.4445 | 0.019009 | 0.000682 | 0.016330 | 0.001997 |
| 113 | Nigeria | 0.5452 | 0.067547 | 0.000799 | 0.054602 | 0.012146 |
| 114 | North Macedonia | 0.7450 | 4.548029 | 0.140192 | 4.025721 | 0.382115 |
| 115 | Norway | 0.1656 | 1.200167 | 0.010804 | 0.334101 | 0.855263 |
| 116 | Oman | 0.5782 | 2.865288 | 0.032506 | 2.700318 | 0.132463 |
| 117 | Pakistan | 0.0750 | 0.250961 | 0.005416 | 0.230941 | 0.014604 |
| 118 | Panama | 0.1258 | 7.622321 | 0.127364 | 6.773850 | 0.721107 |
| 119 | Paraguay | 0.1198 | 1.896664 | 0.038691 | 1.562591 | 0.295382 |
| 120 | Peru | 0.4523 | 3.573742 | 0.127751 | 3.310514 | 0.135477 |
| 121 | Philippines | 0.3576 | 0.488699 | 0.010139 | 0.445757 | 0.032803 |
| 122 | Poland | 0.2639 | 4.028175 | 0.101632 | 3.392335 | 0.534208 |
| 123 | Portugal | 0.2825 | 7.429605 | 0.136070 | 5.846836 | 1.446699 |
| 124 | Republic of Moldova | 0.3570 | 4.646195 | 0.099859 | 4.333692 | 0.212645 |
| 125 | Romania | 0.4477 | 3.863328 | 0.097755 | 3.583358 | 0.182215 |
| 126 | Russian Federation | 0.2638 | 2.663104 | 0.051120 | 2.316142 | 0.295842 |
| 127 | Rwanda | 0.2545 | 0.126135 | 0.001675 | 0.093013 | 0.031447 |
| 128 | Saint Kitts and Nevis | 0.1233 | 0.074074 | 0.000000 | 0.066667 | 0.007407 |
| 129 | Saint Lucia | 0.1508 | 0.996154 | 0.009890 | 0.480769 | 0.505495 |
| 130 | Saint Vincent and the Grenadines | 0.2509 | 1.082883 | 0.002703 | 0.361261 | 0.718919 |
| 131 | Samoa | 0.0431 | 0.001000 | 0.000000 | 0.001000 | 0.000000 |
| 132 | Sao Tome and Principe | 0.0738 | 0.643333 | 0.008571 | 0.504762 | 0.130000 |
| 133 | Saudi Arabia | 0.1891 | 1.055795 | 0.018256 | 1.030898 | 0.006641 |
| 134 | Senegal | 0.1901 | 0.170145 | 0.004031 | 0.139107 | 0.027007 |
| 135 | Serbia | 0.3635 | 5.840908 | 0.059106 | 0.000000 | 5.781803 |
| 136 | Sierra Leone | 0.2703 | 0.047286 | 0.000990 | 0.030738 | 0.015557 |
| 137 | Slovakia | 0.1292 | 4.792640 | 0.094013 | 4.361424 | 0.337202 |
| 138 | Slovenia | 0.2697 | 8.235901 | 0.171755 | 7.312934 | 0.751213 |
| 139 | Solomon Islands | 0.0785 | 0.002378 | 0.000000 | 0.001399 | 0.000979 |
| 140 | South Africa | 0.1647 | 2.471490 | 0.077447 | 2.248100 | 0.145943 |
| 141 | Spain | 0.2611 | 6.176110 | 0.128867 | 0.315684 | 5.731559 |
| 142 | Sri Lanka | 0.2396 | 0.312604 | 0.001600 | 0.285335 | 0.025669 |
| 143 | Sudan | 0.3521 | 0.067582 | 0.004176 | 0.049702 | 0.013704 |
| 144 | Suriname | 0.2789 | 1.429752 | 0.026446 | 1.318017 | 0.085289 |
| 145 | Sweden | 0.2296 | 5.666975 | 0.116749 | 0.000000 | 5.550226 |
| 146 | Switzerland | 0.2141 | 6.160215 | 0.111258 | 3.678480 | 2.370477 |
| 147 | Taiwan* | 0.3111 | 0.003914 | 0.000038 | 0.003571 | 0.000305 |
| 148 | Tajikistan | 0.9395 | 0.141139 | 0.000955 | 0.140185 | 0.000000 |
| 149 | Thailand | 0.2102 | 0.035126 | 0.000119 | 0.025464 | 0.009544 |
| 150 | Timor-Leste | 0.1668 | 0.006070 | 0.000000 | 0.004628 | 0.001442 |
| 151 | Togo | 0.1516 | 0.065660 | 0.000954 | 0.054777 | 0.009929 |
| 152 | Trinidad and Tobago | 0.1799 | 0.556026 | 0.009861 | 0.529949 | 0.016216 |
| 153 | Tunisia | 0.7627 | 1.817216 | 0.060205 | 1.453304 | 0.303707 |
| 154 | Turkey | 0.6703 | 3.015138 | 0.031868 | 2.881050 | 0.102220 |
| 156 | Uganda | 0.1567 | 0.087058 | 0.000715 | 0.031370 | 0.054973 |
| 157 | Ukraine | 0.5223 | 3.075923 | 0.059206 | 2.653382 | 0.363335 |
| 158 | United Arab Emirates | 0.4306 | 3.307445 | 0.009348 | 3.079168 | 0.218930 |
| 159 | United Kingdom | 0.2127 | 5.868483 | 0.167220 | 0.015161 | 5.686102 |
| 160 | United Republic of Tanzania | 0.2419 | 0.000852 | 0.000035 | 0.000306 | 0.000511 |
| 161 | United States of America | 0.1944 | 8.159922 | 0.140103 | 0.000000 | 8.019819 |
| 162 | Uruguay | 0.2096 | 1.269102 | 0.013622 | 1.089465 | 0.166015 |
| 163 | Uzbekistan | 0.8535 | 0.231302 | 0.001817 | 0.226751 | 0.002733 |
| 164 | Vanuatu | 0.1424 | 0.000312 | 0.000000 | 0.000312 | 0.000000 |
| 165 | Venezuela (Bolivarian Republic of) | 0.1851 | 0.452585 | 0.004287 | 0.424399 | 0.023899 |
| 166 | Vietnam | 0.6373 | 0.002063 | 0.000036 | 0.001526 | 0.000501 |
| 167 | Yemen | 0.1667 | 0.007131 | 0.002062 | 0.004788 | 0.000282 |
| 168 | Zambia | 0.1567 | 0.334133 | 0.004564 | 0.290524 | 0.039045 |
| 169 | Zimbabwe | 0.0789 | 0.232033 | 0.008854 | 0.190964 | 0.032214 |
plt.figure(figsize = (12, 8))
x = np.array(covid_vegetables_df['Vegetables'])
y = np.array(covid_vegetables_df['Deaths'])
plt.plot(x, y, 'o', color = 'red')
m, b = np.polyfit(x, y, 1)
plt.plot(x, (m * x) + b, color = 'black')
plt.grid()
plt.title("Vegetable Consumption vs. COVID-19 Deaths", fontsize = 20)
plt.ylabel("Deaths", fontsize = 18)
plt.xlabel("Vegetables Consumption", fontsize = 18)
Text(0.5, 0, 'Vegetables Consumption')
# Print Regression Results for Vegetable Consumption
regression_results = sm.ols(formula = 'Deaths ~ Vegetables', data = covid_vegetables_df).fit()
# Create first parameter for linear regression model
first_param = [[x] for x in covid_vegetables_df['Vegetables']]
# Create second parameter for linear regression model
second_param = [[y] for y in covid_vegetables_df['Deaths']]
# Create a variable to call the linearRegression import above
lin_regression = linear_model.LinearRegression()
# Create variable to store linear regression model data
lin_reg_model = lin_regression.fit(first_param, second_param)
# Create coefficient for the above variable
format_one = lin_reg_model.coef_[0]
#Obtain y-intercept of above variable
format_two = lin_reg_model.intercept_
# Print the data for the fitted model
print (regression_results.summary())
# Print new line for spacing purposes
print ()
# prints the output in slope intercept form
print ("Linear Regression Model (Slopt Intercept Form): Y = {0}x + {1}".format(format_one, format_two))
# Print new line for spacing purposes
print ()
# Find the p-value
slope, intercept, r_value, p_value, stderr = stats.linregress(covid_vegetables_df['Vegetables'],
covid_vegetables_df['Deaths'])
# Print the p-value
print ("The P-Value is: ", p_value)
OLS Regression Results
==============================================================================
Dep. Variable: Deaths R-squared: 0.000
Model: OLS Adj. R-squared: -0.006
Method: Least Squares F-statistic: 0.004717
Date: Tue, 14 Dec 2021 Prob (F-statistic): 0.945
Time: 17:13:14 Log-Likelihood: 263.36
No. Observations: 164 AIC: -522.7
Df Residuals: 162 BIC: -516.5
Df Model: 1
Covariance Type: nonrobust
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 0.0398 0.007 5.804 0.000 0.026 0.053
Vegetables -0.0013 0.019 -0.069 0.945 -0.038 0.035
==============================================================================
Omnibus: 27.504 Durbin-Watson: 2.041
Prob(Omnibus): 0.000 Jarque-Bera (JB): 37.012
Skew: 1.162 Prob(JB): 9.18e-09
Kurtosis: 3.114 Cond. No. 5.33
==============================================================================
Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
Linear Regression Model (Slopt Intercept Form): Y = [-0.00127219]x + [0.03976037]
The P-Value is: 0.9453309860444901
Observations After Evaluation #3
We have provided a table illustrating the data between vegetable consumption rates and COVID-19 deaths in various different countries around the world. Additionally, we have provided a scatter plot which illustrates the relation between vegetable consumption rates and COVID-19 deaths. Lastly, we have provided OLS regression results that stem from data from the table we created above. As you can see, we determined the p-value from the results of our calculations. The p-value for a statistical model is the probability that when the null hypothesis is true, the statistical summary is equal to or greater than the actual observed results. In this case, the p-value we calculated above is 0.9453309860444901. Subsequently, this value is greater than 0.05, which infers that it is statistically NOT significant. It indicates no strong evidence against the null hypothesis, as there is greater than a 5% probability that the null hypothesis is correct. Therefore, we FAILED to reject the null hypothesis and accept the null hypothesis, which concludes that there is NOT a significant correlation between vegetable consumption rates and COVID-19 deaths in each country around the world from our dataset. Therefore since we fail to reject the null hypothesis stated above; eating vegetables does indeed help support our immune system which will help us fight against the COVID-19 virus.
Evaluation #4: Does Treenut Consumption Lead To An Increased Chance Of Death From COVID-19 Or Not?
Treenuts are widely eaten as a snack food or used in cooking. They are a great source of nutrients, loaded with antioxidants, may aid weight loss, may lower cholestrol and triglycerides, may reduce inflammation, high in beneficial fiber, and improve heart health and immune functions. As previously mentioned above, COVID-19 is a infectious respiratory disease, so one would expect that people with great nutritional diets who result in vast treenut consumption would be at lesser risk of infection and death. Would consuming treenuts for a healthier diet help fight against the COVID-19 virus? To test whether there is or is not a correlation between treenut consumption and COVID-19 deaths, we took the treenut consumption rates of various countries and compared them to the number of COVID-19 deaths of each country and performed a linear regression on the plot. We used a linear regression because if there was a correlation, it would intuitively be a linear relation. As shown below, these are the result of our calculations regarding treenut consumption and COVID-19 deaths.
Null Hypothesis: Treenut Consumption Rates have no correlation between COVID-19 deaths around the world for each country in the dataset.
Alternate Hypothesis: Treenut Consumption Rates have a strong significant correlation between treenut consumption and COVID-19 deaths around the world for each country.
# Drop all necessary columns except the ones that have a direct relation to COVID-19 tests, deaths, and treenuts
covid_treenuts_df = covid_df.drop(['Alcoholic Beverages', 'Animal fats', 'Animal Products', 'Aquatic Products, Other',
'Cereals - Excluding Beer', 'Eggs', 'Fish, Seafood', 'Fruits - Excluding Wine', 'Meat',
'Miscellaneous', 'Milk - Excluding Butter', 'Offals', 'Oilcrops', 'Pulses', 'Spices',
'Starchy Roots', 'Stimulants', 'Sugar Crops', 'Sugar & Sweeteners',
'Vegetal Products', 'Vegetable Oils', 'Vegetables', 'Obesity', 'Undernourished',
'Population',
'Unit (all except Population)'], axis = 1)
# Drop any rows of data that contain missing values or 'NaN' values
covid_treenuts_df = covid_treenuts_df.dropna(how = 'any', thresh = None,
subset = ['Treenuts', 'Deaths'], inplace = False)
# Print new table
covid_treenuts_df
| Country | Treenuts | Confirmed | Deaths | Recovered | Active | |
|---|---|---|---|---|---|---|
| 0 | Afghanistan | 0.7513 | 0.142134 | 0.006186 | 0.123374 | 0.012574 |
| 1 | Albania | 0.9181 | 2.967301 | 0.050951 | 1.792636 | 1.123714 |
| 2 | Algeria | 0.8595 | 0.244897 | 0.006558 | 0.167572 | 0.070767 |
| 3 | Angola | 0.0308 | 0.061687 | 0.001461 | 0.056808 | 0.003419 |
| 4 | Antigua and Barbuda | 0.2020 | 0.293878 | 0.007143 | 0.190816 | 0.095918 |
| 5 | Argentina | 0.1366 | 4.356147 | 0.108227 | 3.905192 | 0.342729 |
| 6 | Armenia | 0.9542 | 5.681225 | 0.105345 | 5.398410 | 0.177470 |
| 7 | Australia | 1.6145 | 0.112025 | 0.003530 | 0.101289 | 0.007207 |
| 8 | Austria | 0.8398 | 4.739982 | 0.089679 | 4.496870 | 0.153433 |
| 9 | Azerbaijan | 2.2573 | 2.285536 | 0.031223 | 2.225574 | 0.028740 |
| 10 | Bahamas | 0.4532 | 2.100763 | 0.044784 | 1.735115 | 0.320865 |
| 11 | Bangladesh | 0.2651 | 0.316691 | 0.004823 | 0.284344 | 0.027524 |
| 12 | Barbados | 0.7817 | 0.583972 | 0.006272 | 0.470035 | 0.107666 |
| 13 | Belarus | 1.0462 | 2.740896 | 0.018912 | 2.612704 | 0.109280 |
| 14 | Belgium | 1.2056 | 6.286322 | 0.185428 | 0.000000 | 6.100894 |
| 15 | Belize | 0.3845 | 2.872792 | 0.073031 | 2.739618 | 0.060143 |
| 16 | Benin | 1.9176 | 0.034344 | 0.000450 | 0.029183 | 0.004710 |
| 17 | Bolivia | 0.7413 | 1.952446 | 0.092435 | 1.438614 | 0.421396 |
| 18 | Bosnia and Herzegovina | 0.9574 | 3.762085 | 0.145535 | 2.960317 | 0.656233 |
| 19 | Botswana | 0.1541 | 1.014372 | 0.007035 | 0.844799 | 0.162538 |
| 20 | Brazil | 0.1766 | 4.460165 | 0.108603 | 3.979469 | 0.372094 |
| 21 | Bulgaria | 0.3404 | 3.227256 | 0.134416 | 2.788956 | 0.303883 |
| 22 | Burkina Faso | 0.2658 | 0.053710 | 0.000641 | 0.048031 | 0.005038 |
| 23 | Cabo Verde | 0.1752 | 2.586331 | 0.024281 | 2.461151 | 0.100899 |
| 24 | Cambodia | 0.3048 | 0.003059 | 0.000000 | 0.002930 | 0.000129 |
| 25 | Cameroon | 0.1026 | 0.118031 | 0.001782 | 0.110914 | 0.005335 |
| 26 | Canada | 1.2110 | 2.109961 | 0.054203 | 1.909848 | NaN |
| 27 | Central African Republic | 0.0000 | 0.103292 | 0.001304 | 0.101139 | 0.000849 |
| 28 | Chad | 0.0000 | 0.020578 | 0.000741 | 0.016881 | 0.002957 |
| 29 | Chile | 0.7241 | 3.842229 | 0.097047 | 3.626194 | NaN |
| 30 | China | 1.7979 | 0.007156 | 0.000344 | 0.006685 | 0.000126 |
| 31 | Colombia | 0.5251 | 4.350795 | 0.112639 | 4.090144 | 0.148012 |
| 32 | Congo | 0.0212 | 0.571675 | 0.014516 | 0.379721 | 0.177437 |
| 33 | Costa Rica | 0.3540 | 3.843436 | 0.052279 | 3.055782 | 0.735375 |
| 34 | Cote d'Ivoire | 2.3355 | 0.112959 | 0.000619 | 0.106105 | 0.006235 |
| 35 | Croatia | 0.6987 | 5.848905 | 0.127960 | 5.648706 | 0.072239 |
| 36 | Cuba | 0.0069 | 0.283760 | 0.002065 | 0.230822 | 0.050873 |
| 37 | Cyprus | 0.8609 | 2.621707 | 0.017481 | 0.170423 | 2.433803 |
| 38 | Czechia | 0.4164 | 9.612841 | 0.159845 | 8.555328 | 0.897667 |
| 39 | Denmark | 1.1846 | 3.463218 | 0.038017 | 3.307360 | 0.117842 |
| 40 | Djibouti | 0.4157 | 0.601316 | 0.006377 | 0.592308 | 0.002632 |
| 41 | Dominica | 0.0312 | 0.168056 | 0.000000 | 0.152778 | 0.015278 |
| 42 | Dominican Republic | 0.0703 | 2.115695 | 0.026676 | 1.577705 | 0.511314 |
| 43 | Ecuador | 0.0784 | 1.468306 | 0.085683 | 1.198184 | 0.184438 |
| 44 | Egypt | 0.2992 | 0.167759 | 0.009527 | 0.131002 | 0.027229 |
| 45 | El Salvador | 0.1167 | 0.867721 | 0.025814 | 0.778136 | 0.063771 |
| 46 | Estonia | 1.2495 | 3.569647 | 0.034260 | 2.828550 | 0.706837 |
| 47 | Eswatini | 0.6559 | 1.465670 | 0.054710 | 1.038859 | 0.372101 |
| 48 | Ethiopia | 0.7459 | 0.123093 | 0.001867 | 0.109237 | 0.011989 |
| 49 | Fiji | 0.1469 | 0.006250 | 0.000223 | 0.005915 | 0.000112 |
| 50 | Finland | 0.5157 | 0.854802 | 0.012443 | 0.560680 | 0.281678 |
| 51 | France | 0.8530 | 5.199055 | 0.121558 | 0.367877 | 4.709620 |
| 53 | Gabon | 0.0178 | 0.513537 | 0.003182 | 0.483953 | 0.026401 |
| 54 | Gambia | 0.2362 | 0.175300 | 0.005544 | 0.160778 | 0.008978 |
| 55 | Georgia | 1.1566 | 7.042261 | 0.087995 | 6.805249 | 0.149017 |
| 56 | Germany | 1.6739 | 2.743101 | 0.073891 | 2.451366 | 0.217844 |
| 57 | Ghana | 0.0868 | 0.225424 | 0.001445 | 0.204364 | 0.019615 |
| 58 | Greece | 1.8810 | 1.525355 | 0.055617 | 0.876299 | 0.593439 |
| 59 | Grenada | 0.1393 | 0.130973 | 0.000885 | 0.129204 | 0.000885 |
| 60 | Guatemala | 0.9305 | 0.901899 | 0.032403 | 0.824294 | 0.045201 |
| 61 | Guinea | 0.0073 | 0.116760 | 0.000669 | 0.114013 | 0.002078 |
| 62 | Guinea-Bissau | 3.3116 | 0.143851 | 0.002387 | 0.125947 | 0.015516 |
| 63 | Guyana | 0.8805 | 1.008767 | 0.022872 | 0.884625 | 0.101271 |
| 64 | Haiti | 0.0000 | 0.103113 | 0.002149 | 0.080295 | 0.020670 |
| 65 | Honduras | 0.1012 | 1.560270 | 0.037612 | 0.626369 | 0.896290 |
| 66 | Hungary | 0.0456 | 3.840739 | 0.133367 | 2.845797 | 0.861575 |
| 67 | Iceland | 0.5005 | 1.636141 | 0.007880 | 1.619293 | 0.008967 |
| 68 | India | 0.5014 | 0.773256 | 0.011070 | 0.751561 | 0.010625 |
| 69 | Indonesia | 0.3976 | 0.422100 | 0.011553 | 0.345620 | 0.064927 |
| 70 | Iran (Islamic Republic of) | 4.9044 | 1.734248 | 0.069414 | 1.482322 | 0.182512 |
| 71 | Iraq | 0.6341 | 1.579398 | 0.033004 | 1.508287 | 0.038107 |
| 72 | Ireland | 0.8417 | 4.048531 | 0.073436 | 0.467000 | 3.508095 |
| 73 | Israel | 1.3194 | 7.439052 | 0.055024 | 6.609635 | 0.774392 |
| 74 | Italy | 1.4324 | 4.353685 | 0.150927 | 3.494529 | 0.708229 |
| 75 | Jamaica | 0.1398 | 0.599537 | 0.012709 | 0.435208 | 0.151620 |
| 76 | Japan | 0.6499 | 0.320821 | 0.005059 | 0.284770 | 0.030991 |
| 77 | Jordan | 0.9018 | 3.126276 | 0.040912 | 2.991760 | 0.093604 |
| 78 | Kazakhstan | 0.7654 | 1.299402 | 0.016651 | 1.137764 | 0.144987 |
| 79 | Kenya | 0.5989 | 0.189975 | 0.003318 | 0.157491 | 0.029166 |
| 82 | Korea, South | 1.2036 | 0.156227 | 0.002841 | 0.136855 | 0.016531 |
| 83 | Kuwait | 1.1810 | 3.624728 | 0.020550 | 3.434087 | 0.170092 |
| 84 | Kyrgyzstan | 1.5893 | 1.288929 | 0.021580 | 1.236609 | 0.030740 |
| 85 | Lao People's Democratic Republic | 0.0683 | 0.000621 | 0.000000 | 0.000566 | 0.000055 |
| 86 | Latvia | 0.8819 | 3.749737 | 0.069769 | 3.122976 | 0.556993 |
| 87 | Lebanon | 2.9110 | 4.656938 | 0.052190 | 2.947062 | 1.657685 |
| 88 | Lesotho | 0.0345 | 0.437908 | 0.008543 | 0.126331 | 0.303035 |
| 89 | Liberia | 0.3883 | 0.038671 | 0.001661 | 0.034994 | 0.002017 |
| 90 | Lithuania | 0.9238 | 6.667072 | 0.104760 | 4.939621 | 1.622691 |
| 91 | Luxembourg | 0.1280 | 8.150633 | 0.093354 | 7.661551 | 0.395728 |
| 92 | Madagascar | 0.2129 | 0.068849 | 0.001015 | 0.065779 | 0.002055 |
| 93 | Malawi | 0.2012 | 0.140486 | 0.004375 | 0.059320 | 0.076790 |
| 94 | Malaysia | 0.3731 | 0.728230 | 0.002614 | 0.570361 | 0.155255 |
| 95 | Maldives | 4.9756 | 3.078743 | 0.009982 | 2.690573 | 0.378189 |
| 96 | Mali | 1.3357 | 0.040294 | 0.001669 | 0.029895 | 0.008730 |
| 97 | Malta | 1.1720 | 3.558621 | 0.053448 | 3.045211 | 0.459962 |
| 98 | Mauritania | 0.0000 | 0.361118 | 0.009140 | 0.343763 | 0.008215 |
| 99 | Mauritius | 0.2702 | 0.046166 | 0.000791 | 0.042688 | 0.002688 |
| 100 | Mexico | 0.7437 | 1.507199 | 0.129731 | 1.159805 | 0.217663 |
| 101 | Mongolia | 0.0787 | 0.060190 | 0.000060 | 0.043112 | 0.017019 |
| 102 | Montenegro | 0.8415 | 10.408199 | 0.134405 | 9.039871 | 1.233923 |
| 103 | Morocco | 1.9048 | 1.321111 | 0.023312 | 1.262575 | 0.035225 |
| 104 | Mozambique | 0.8244 | 0.141539 | 0.001447 | 0.085959 | 0.054133 |
| 106 | Namibia | 0.1199 | 1.371271 | 0.014601 | 1.312830 | 0.043841 |
| 107 | Nepal | 0.5019 | 0.906141 | 0.006784 | 0.892826 | 0.006531 |
| 108 | Netherlands | 1.4980 | 5.815292 | 0.082830 | 0.076063 | 5.656398 |
| 110 | New Zealand | 1.3357 | 0.046521 | 0.000501 | 0.044696 | 0.001323 |
| 111 | Nicaragua | 0.0315 | 0.095497 | 0.002577 | 0.064054 | 0.028866 |
| 112 | Niger | 0.0000 | 0.019009 | 0.000682 | 0.016330 | 0.001997 |
| 113 | Nigeria | 0.2322 | 0.067547 | 0.000799 | 0.054602 | 0.012146 |
| 114 | North Macedonia | 1.1708 | 4.548029 | 0.140192 | 4.025721 | 0.382115 |
| 115 | Norway | 0.8888 | 1.200167 | 0.010804 | 0.334101 | 0.855263 |
| 116 | Oman | 0.6107 | 2.865288 | 0.032506 | 2.700318 | 0.132463 |
| 117 | Pakistan | 0.1909 | 0.250961 | 0.005416 | 0.230941 | 0.014604 |
| 118 | Panama | 0.4339 | 7.622321 | 0.127364 | 6.773850 | 0.721107 |
| 119 | Paraguay | 0.0163 | 1.896664 | 0.038691 | 1.562591 | 0.295382 |
| 120 | Peru | 0.2312 | 3.573742 | 0.127751 | 3.310514 | 0.135477 |
| 121 | Philippines | 0.7701 | 0.488699 | 0.010139 | 0.445757 | 0.032803 |
| 122 | Poland | 0.4385 | 4.028175 | 0.101632 | 3.392335 | 0.534208 |
| 123 | Portugal | 0.7648 | 7.429605 | 0.136070 | 5.846836 | 1.446699 |
| 124 | Republic of Moldova | 0.1093 | 4.646195 | 0.099859 | 4.333692 | 0.212645 |
| 125 | Romania | 0.6797 | 3.863328 | 0.097755 | 3.583358 | 0.182215 |
| 126 | Russian Federation | 0.1274 | 2.663104 | 0.051120 | 2.316142 | 0.295842 |
| 127 | Rwanda | 0.0182 | 0.126135 | 0.001675 | 0.093013 | 0.031447 |
| 128 | Saint Kitts and Nevis | 0.5189 | 0.074074 | 0.000000 | 0.066667 | 0.007407 |
| 129 | Saint Lucia | 0.5551 | 0.996154 | 0.009890 | 0.480769 | 0.505495 |
| 130 | Saint Vincent and the Grenadines | 0.4516 | 1.082883 | 0.002703 | 0.361261 | 0.718919 |
| 131 | Samoa | 0.0611 | 0.001000 | 0.000000 | 0.001000 | 0.000000 |
| 132 | Sao Tome and Principe | 0.0268 | 0.643333 | 0.008571 | 0.504762 | 0.130000 |
| 133 | Saudi Arabia | 0.7128 | 1.055795 | 0.018256 | 1.030898 | 0.006641 |
| 134 | Senegal | 0.3870 | 0.170145 | 0.004031 | 0.139107 | 0.027007 |
| 135 | Serbia | 0.9355 | 5.840908 | 0.059106 | 0.000000 | 5.781803 |
| 136 | Sierra Leone | 0.0559 | 0.047286 | 0.000990 | 0.030738 | 0.015557 |
| 137 | Slovakia | 0.4253 | 4.792640 | 0.094013 | 4.361424 | 0.337202 |
| 138 | Slovenia | 1.5852 | 8.235901 | 0.171755 | 7.312934 | 0.751213 |
| 139 | Solomon Islands | 0.3139 | 0.002378 | 0.000000 | 0.001399 | 0.000979 |
| 140 | South Africa | 0.0915 | 2.471490 | 0.077447 | 2.248100 | 0.145943 |
| 141 | Spain | 1.3626 | 6.176110 | 0.128867 | 0.315684 | 5.731559 |
| 142 | Sri Lanka | 0.4194 | 0.312604 | 0.001600 | 0.285335 | 0.025669 |
| 143 | Sudan | 0.0000 | 0.067582 | 0.004176 | 0.049702 | 0.013704 |
| 144 | Suriname | 0.1557 | 1.429752 | 0.026446 | 1.318017 | 0.085289 |
| 145 | Sweden | 0.9704 | 5.666975 | 0.116749 | 0.000000 | 5.550226 |
| 146 | Switzerland | 1.9772 | 6.160215 | 0.111258 | 3.678480 | 2.370477 |
| 147 | Taiwan* | 0.6145 | 0.003914 | 0.000038 | 0.003571 | 0.000305 |
| 148 | Tajikistan | 0.4175 | 0.141139 | 0.000955 | 0.140185 | 0.000000 |
| 149 | Thailand | 0.2647 | 0.035126 | 0.000119 | 0.025464 | 0.009544 |
| 150 | Timor-Leste | 0.0111 | 0.006070 | 0.000000 | 0.004628 | 0.001442 |
| 151 | Togo | 0.0000 | 0.065660 | 0.000954 | 0.054777 | 0.009929 |
| 152 | Trinidad and Tobago | 0.5960 | 0.556026 | 0.009861 | 0.529949 | 0.016216 |
| 153 | Tunisia | 2.3289 | 1.817216 | 0.060205 | 1.453304 | 0.303707 |
| 154 | Turkey | 2.8162 | 3.015138 | 0.031868 | 2.881050 | 0.102220 |
| 156 | Uganda | 0.0000 | 0.087058 | 0.000715 | 0.031370 | 0.054973 |
| 157 | Ukraine | 0.7867 | 3.075923 | 0.059206 | 2.653382 | 0.363335 |
| 158 | United Arab Emirates | 3.8246 | 3.307445 | 0.009348 | 3.079168 | 0.218930 |
| 159 | United Kingdom | 0.7020 | 5.868483 | 0.167220 | 0.015161 | 5.686102 |
| 160 | United Republic of Tanzania | 0.3628 | 0.000852 | 0.000035 | 0.000306 | 0.000511 |
| 161 | United States of America | 0.9420 | 8.159922 | 0.140103 | 0.000000 | 8.019819 |
| 162 | Uruguay | 0.1367 | 1.269102 | 0.013622 | 1.089465 | 0.166015 |
| 163 | Uzbekistan | 0.7754 | 0.231302 | 0.001817 | 0.226751 | 0.002733 |
| 164 | Vanuatu | 0.0356 | 0.000312 | 0.000000 | 0.000312 | 0.000000 |
| 165 | Venezuela (Bolivarian Republic of) | 0.0154 | 0.452585 | 0.004287 | 0.424399 | 0.023899 |
| 166 | Vietnam | 1.1726 | 0.002063 | 0.000036 | 0.001526 | 0.000501 |
| 167 | Yemen | 0.0769 | 0.007131 | 0.002062 | 0.004788 | 0.000282 |
| 168 | Zambia | 0.0112 | 0.334133 | 0.004564 | 0.290524 | 0.039045 |
| 169 | Zimbabwe | 0.4296 | 0.232033 | 0.008854 | 0.190964 | 0.032214 |
plt.figure(figsize = (12, 8))
x = np.array(covid_treenuts_df['Treenuts'])
y = np.array(covid_treenuts_df['Deaths'])
plt.plot(x, y, 'o', color = 'red')
m, b = np.polyfit(x, y, 1)
plt.plot(x, (m * x) + b, color = 'black')
plt.grid()
plt.title("Treenut Consumption vs. COVID-19 Deaths", fontsize = 20)
plt.ylabel("Deaths", fontsize = 18)
plt.xlabel("Treenut Consumption", fontsize = 18)
Text(0.5, 0, 'Treenut Consumption')
# Print Regression Results for Treenut Consumption
regression_results = sm.ols(formula = 'Deaths ~ Treenuts', data = covid_treenuts_df).fit()
# Create first parameter for linear regression model
first_param = [[x] for x in covid_treenuts_df['Treenuts']]
# Create second parameter for linear regression model
second_param = [[y] for y in covid_treenuts_df['Deaths']]
# Create a variable to call the linearRegression import above
lin_regression = linear_model.LinearRegression()
# Create variable to store linear regression model data
lin_reg_model = lin_regression.fit(first_param, second_param)
# Create coefficient for the above variable
format_one = lin_reg_model.coef_[0]
#Obtain y-intercept of above variable
format_two = lin_reg_model.intercept_
# Print the data for the fitted model
print (regression_results.summary())
# Print new line for spacing purposes
print ()
# prints the output in slope intercept form
print ("Linear Regression Model (Slopt Intercept Form): Y = {0}x + {1}".format(format_one, format_two))
# Print new line for spacing purposes
print ()
# Find the p-value
slope, intercept, r_value, p_value, stderr = stats.linregress(covid_treenuts_df['Treenuts'],
covid_treenuts_df['Deaths'])
# Print the p-value
print ("The P-Value is: ", p_value)
OLS Regression Results
==============================================================================
Dep. Variable: Deaths R-squared: 0.024
Model: OLS Adj. R-squared: 0.018
Method: Least Squares F-statistic: 3.970
Date: Tue, 14 Dec 2021 Prob (F-statistic): 0.0480
Time: 17:13:14 Log-Likelihood: 265.34
No. Observations: 164 AIC: -526.7
Df Residuals: 162 BIC: -520.5
Df Model: 1
Covariance Type: nonrobust
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 0.0329 0.005 6.585 0.000 0.023 0.043
Treenuts 0.0091 0.005 1.993 0.048 8.18e-05 0.018
==============================================================================
Omnibus: 27.561 Durbin-Watson: 2.041
Prob(Omnibus): 0.000 Jarque-Bera (JB): 37.011
Skew: 1.161 Prob(JB): 9.19e-09
Kurtosis: 3.143 Cond. No. 2.20
==============================================================================
Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
Linear Regression Model (Slopt Intercept Form): Y = [0.00913388]x + [0.03285637]
The P-Value is: 0.04798943887205049
Observations After Evaluation #4
We have provided a table illustrating the data between treenut consumption rates and COVID-19 deaths in various different countries around the world. Additionally, we have provided a scatter plot which illustrates the relation between treenut consumption rates and COVID-19 deaths. Lastly, we have provided OLS regression results that stem from data from the table we created above. As you can see, we determined the p-value from the results of our calculations. The p-value for a statistical model is the probability that when the null hypothesis is true, the statistical summary is equal to or greater than the actual observed results. In this case, the p-value we calculated above is 0.04798943887205049. Subsequently, this value is less than 0.05, which infers that it is statistically significant. It indicates strong evidence against the null hypothesis, as there is less than a 5% probability that the null hypothesis is correct. Therefore, we reject the null hypothesis and accept the alternate hypothesis, which concludes that there is a correlation between treenut consumption rates and COVID-19 deaths in each country around the world from our dataset. Therefore since we reject the null hypothesis stated above; eating treenuts does indeed help support our immune system, cholesterol levels, and improve heart health but it is not an efficient food group to eat in order to fight against the COVID-19 virus. Additionally, when observing the p-value, it is very close to 0.05, which illustrates that it is still a great food source to help fight against COVID-19, it is just not an efficient one.
Evaluation #5: Does Eating Fruits - Excluding Wine Lead To An Increased Chance Of Death From COVID-19 Or Not?
Fruits are an excellent source of essential vitamins and minerals, and they are high in fiber. Additionally, fruits provide a wide range of health-boosting antixidants, including flavonoids. Consuming a diet high in fruits can reduce our risk of developing heart disease, cancer, inflammation, and diabetes to help support a healthy immune system. As previously mentioned above, COVID-19 is a infectious respiratory disease, so one would expect that people with great nutritional diets who result in vast fruit consumption would be at lesser risk of infection and death. Would consuming fruits for a healthier diet help fight against the COVID-19 virus? To test whether there is or is not a correlation between fruit consumption and COVID-19 deaths, we took the fruit consumption rates of various countries and compared them to the number of COVID-19 deaths of each country and performed a linear regression on the plot. We used a linear regression because if there was a correlation, it would intuitively be a linear relation. As shown below, these are the result of our calculations between fruit consumption and COVID-19 deaths.
Null Hypothesis: Fruit Consumption Rates have no correlation between COVID-19 deaths around the world for each country in the dataset.
Alternate Hypothesis: Fruit Consumption Rates have a strong significant correlation between fruit consumption and COVID-19 deaths around the world for each country. ** </font>
# Drop all necessary columns except the ones that have a direct relation to COVID-19 tests, deaths, and fruits
covid_fruits_df = covid_df.drop(['Alcoholic Beverages', 'Animal fats', 'Animal Products', 'Aquatic Products, Other',
'Cereals - Excluding Beer', 'Eggs', 'Fish, Seafood', 'Meat', 'Miscellaneous',
'Milk - Excluding Butter', 'Offals', 'Oilcrops', 'Pulses', 'Spices', 'Starchy Roots',
'Stimulants', 'Sugar Crops', 'Sugar & Sweeteners', 'Treenuts', 'Vegetal Products',
'Vegetable Oils', 'Vegetables', 'Obesity', 'Undernourished', 'Population',
'Unit (all except Population)'], axis = 1)
# Drop any rows of data that contain missing values or 'NaN' values
covid_fruits_df = covid_fruits_df.dropna(how = 'any', thresh = None,
subset = ['Fruits - Excluding Wine', 'Deaths'], inplace = False)
# Print new table
covid_fruits_df
| Country | Fruits - Excluding Wine | Confirmed | Deaths | Recovered | Active | |
|---|---|---|---|---|---|---|
| 0 | Afghanistan | 0.4246 | 0.142134 | 0.006186 | 0.123374 | 0.012574 |
| 1 | Albania | 0.6418 | 2.967301 | 0.050951 | 1.792636 | 1.123714 |
| 2 | Algeria | 0.5772 | 0.244897 | 0.006558 | 0.167572 | 0.070767 |
| 3 | Angola | 0.3488 | 0.061687 | 0.001461 | 0.056808 | 0.003419 |
| 4 | Antigua and Barbuda | 1.2177 | 0.293878 | 0.007143 | 0.190816 | 0.095918 |
| 5 | Argentina | 0.2091 | 4.356147 | 0.108227 | 3.905192 | 0.342729 |
| 6 | Armenia | 0.5468 | 5.681225 | 0.105345 | 5.398410 | 0.177470 |
| 7 | Australia | 0.4028 | 0.112025 | 0.003530 | 0.101289 | 0.007207 |
| 8 | Austria | 0.2249 | 4.739982 | 0.089679 | 4.496870 | 0.153433 |
| 9 | Azerbaijan | 0.5940 | 2.285536 | 0.031223 | 2.225574 | 0.028740 |
| 10 | Bahamas | 0.8995 | 2.100763 | 0.044784 | 1.735115 | 0.320865 |
| 11 | Bangladesh | 0.4270 | 0.316691 | 0.004823 | 0.284344 | 0.027524 |
| 12 | Barbados | 0.4636 | 0.583972 | 0.006272 | 0.470035 | 0.107666 |
| 13 | Belarus | 0.2316 | 2.740896 | 0.018912 | 2.612704 | 0.109280 |
| 14 | Belgium | 0.2373 | 6.286322 | 0.185428 | 0.000000 | 6.100894 |
| 15 | Belize | 0.3039 | 2.872792 | 0.073031 | 2.739618 | 0.060143 |
| 16 | Benin | 0.1978 | 0.034344 | 0.000450 | 0.029183 | 0.004710 |
| 17 | Bolivia | 0.5407 | 1.952446 | 0.092435 | 1.438614 | 0.421396 |
| 18 | Bosnia and Herzegovina | 0.5976 | 3.762085 | 0.145535 | 2.960317 | 0.656233 |
| 19 | Botswana | 0.1696 | 1.014372 | 0.007035 | 0.844799 | 0.162538 |
| 20 | Brazil | 0.2528 | 4.460165 | 0.108603 | 3.979469 | 0.372094 |
| 21 | Bulgaria | 0.2723 | 3.227256 | 0.134416 | 2.788956 | 0.303883 |
| 22 | Burkina Faso | 0.0443 | 0.053710 | 0.000641 | 0.048031 | 0.005038 |
| 23 | Cabo Verde | 0.1898 | 2.586331 | 0.024281 | 2.461151 | 0.100899 |
| 24 | Cambodia | 0.2438 | 0.003059 | 0.000000 | 0.002930 | 0.000129 |
| 25 | Cameroon | 0.7931 | 0.118031 | 0.001782 | 0.110914 | 0.005335 |
| 26 | Canada | 0.4244 | 2.109961 | 0.054203 | 1.909848 | NaN |
| 27 | Central African Republic | 0.4998 | 0.103292 | 0.001304 | 0.101139 | 0.000849 |
| 28 | Chad | 0.0701 | 0.020578 | 0.000741 | 0.016881 | 0.002957 |
| 29 | Chile | 0.4186 | 3.842229 | 0.097047 | 3.626194 | NaN |
| 30 | China | 0.2344 | 0.007156 | 0.000344 | 0.006685 | 0.000126 |
| 31 | Colombia | 1.2273 | 4.350795 | 0.112639 | 4.090144 | 0.148012 |
| 32 | Congo | 0.8370 | 0.571675 | 0.014516 | 0.379721 | 0.177437 |
| 33 | Costa Rica | 0.5700 | 3.843436 | 0.052279 | 3.055782 | 0.735375 |
| 34 | Cote d'Ivoire | 0.5271 | 0.112959 | 0.000619 | 0.106105 | 0.006235 |
| 35 | Croatia | 0.2577 | 5.848905 | 0.127960 | 5.648706 | 0.072239 |
| 36 | Cuba | 0.6179 | 0.283760 | 0.002065 | 0.230822 | 0.050873 |
| 37 | Cyprus | 0.3632 | 2.621707 | 0.017481 | 0.170423 | 2.433803 |
| 38 | Czechia | 0.1870 | 9.612841 | 0.159845 | 8.555328 | 0.897667 |
| 39 | Denmark | 0.5257 | 3.463218 | 0.038017 | 3.307360 | 0.117842 |
| 40 | Djibouti | 0.1247 | 0.601316 | 0.006377 | 0.592308 | 0.002632 |
| 41 | Dominica | 1.1856 | 0.168056 | 0.000000 | 0.152778 | 0.015278 |
| 42 | Dominican Republic | 3.6133 | 2.115695 | 0.026676 | 1.577705 | 0.511314 |
| 43 | Ecuador | 0.4367 | 1.468306 | 0.085683 | 1.198184 | 0.184438 |
| 44 | Egypt | 0.7216 | 0.167759 | 0.009527 | 0.131002 | 0.027229 |
| 45 | El Salvador | 1.4321 | 0.867721 | 0.025814 | 0.778136 | 0.063771 |
| 46 | Estonia | 0.3805 | 3.569647 | 0.034260 | 2.828550 | 0.706837 |
| 47 | Eswatini | 0.4718 | 1.465670 | 0.054710 | 1.038859 | 0.372101 |
| 48 | Ethiopia | 0.4102 | 0.123093 | 0.001867 | 0.109237 | 0.011989 |
| 49 | Fiji | 0.0840 | 0.006250 | 0.000223 | 0.005915 | 0.000112 |
| 50 | Finland | 0.2901 | 0.854802 | 0.012443 | 0.560680 | 0.281678 |
| 51 | France | 0.3869 | 5.199055 | 0.121558 | 0.367877 | 4.709620 |
| 53 | Gabon | 0.6401 | 0.513537 | 0.003182 | 0.483953 | 0.026401 |
| 54 | Gambia | 0.0373 | 0.175300 | 0.005544 | 0.160778 | 0.008978 |
| 55 | Georgia | 0.2071 | 7.042261 | 0.087995 | 6.805249 | 0.149017 |
| 56 | Germany | 0.2632 | 2.743101 | 0.073891 | 2.451366 | 0.217844 |
| 57 | Ghana | 1.2151 | 0.225424 | 0.001445 | 0.204364 | 0.019615 |
| 58 | Greece | 0.2484 | 1.525355 | 0.055617 | 0.876299 | 0.593439 |
| 59 | Grenada | 2.8436 | 0.130973 | 0.000885 | 0.129204 | 0.000885 |
| 60 | Guatemala | 1.2516 | 0.901899 | 0.032403 | 0.824294 | 0.045201 |
| 61 | Guinea | 0.3415 | 0.116760 | 0.000669 | 0.114013 | 0.002078 |
| 62 | Guinea-Bissau | 0.2938 | 0.143851 | 0.002387 | 0.125947 | 0.015516 |
| 63 | Guyana | 1.5030 | 1.008767 | 0.022872 | 0.884625 | 0.101271 |
| 64 | Haiti | 1.6804 | 0.103113 | 0.002149 | 0.080295 | 0.020670 |
| 65 | Honduras | 0.3760 | 1.560270 | 0.037612 | 0.626369 | 0.896290 |
| 66 | Hungary | 0.1270 | 3.840739 | 0.133367 | 2.845797 | 0.861575 |
| 67 | Iceland | 0.4975 | 1.636141 | 0.007880 | 1.619293 | 0.008967 |
| 68 | India | 0.4046 | 0.773256 | 0.011070 | 0.751561 | 0.010625 |
| 69 | Indonesia | 0.7139 | 0.422100 | 0.011553 | 0.345620 | 0.064927 |
| 70 | Iran (Islamic Republic of) | 0.6243 | 1.734248 | 0.069414 | 1.482322 | 0.182512 |
| 71 | Iraq | 0.2306 | 1.579398 | 0.033004 | 1.508287 | 0.038107 |
| 72 | Ireland | 0.2829 | 4.048531 | 0.073436 | 0.467000 | 3.508095 |
| 73 | Israel | 1.6051 | 7.439052 | 0.055024 | 6.609635 | 0.774392 |
| 74 | Italy | 0.2541 | 4.353685 | 0.150927 | 3.494529 | 0.708229 |
| 75 | Jamaica | 0.4322 | 0.599537 | 0.012709 | 0.435208 | 0.151620 |
| 76 | Japan | 0.1881 | 0.320821 | 0.005059 | 0.284770 | 0.030991 |
| 77 | Jordan | 0.1980 | 3.126276 | 0.040912 | 2.991760 | 0.093604 |
| 78 | Kazakhstan | 0.1787 | 1.299402 | 0.016651 | 1.137764 | 0.144987 |
| 79 | Kenya | 1.0757 | 0.189975 | 0.003318 | 0.157491 | 0.029166 |
| 82 | Korea, South | 0.1766 | 0.156227 | 0.002841 | 0.136855 | 0.016531 |
| 83 | Kuwait | 0.3496 | 3.624728 | 0.020550 | 3.434087 | 0.170092 |
| 84 | Kyrgyzstan | 0.2388 | 1.288929 | 0.021580 | 1.236609 | 0.030740 |
| 85 | Lao People's Democratic Republic | 0.8777 | 0.000621 | 0.000000 | 0.000566 | 0.000055 |
| 86 | Latvia | 0.2526 | 3.749737 | 0.069769 | 3.122976 | 0.556993 |
| 87 | Lebanon | 0.5800 | 4.656938 | 0.052190 | 2.947062 | 1.657685 |
| 88 | Lesotho | 0.1495 | 0.437908 | 0.008543 | 0.126331 | 0.303035 |
| 89 | Liberia | 0.1445 | 0.038671 | 0.001661 | 0.034994 | 0.002017 |
| 90 | Lithuania | 0.3283 | 6.667072 | 0.104760 | 4.939621 | 1.622691 |
| 91 | Luxembourg | 0.3256 | 8.150633 | 0.093354 | 7.661551 | 0.395728 |
| 92 | Madagascar | 1.2984 | 0.068849 | 0.001015 | 0.065779 | 0.002055 |
| 93 | Malawi | 1.3767 | 0.140486 | 0.004375 | 0.059320 | 0.076790 |
| 94 | Malaysia | 0.1756 | 0.728230 | 0.002614 | 0.570361 | 0.155255 |
| 95 | Maldives | 0.4665 | 3.078743 | 0.009982 | 2.690573 | 0.378189 |
| 96 | Mali | 0.2987 | 0.040294 | 0.001669 | 0.029895 | 0.008730 |
| 97 | Malta | 0.2666 | 3.558621 | 0.053448 | 3.045211 | 0.459962 |
| 98 | Mauritania | 0.0895 | 0.361118 | 0.009140 | 0.343763 | 0.008215 |
| 99 | Mauritius | 0.1501 | 0.046166 | 0.000791 | 0.042688 | 0.002688 |
| 100 | Mexico | 0.5305 | 1.507199 | 0.129731 | 1.159805 | 0.217663 |
| 101 | Mongolia | 0.0420 | 0.060190 | 0.000060 | 0.043112 | 0.017019 |
| 102 | Montenegro | 0.3688 | 10.408199 | 0.134405 | 9.039871 | 1.233923 |
| 103 | Morocco | 0.7014 | 1.321111 | 0.023312 | 1.262575 | 0.035225 |
| 104 | Mozambique | 0.1846 | 0.141539 | 0.001447 | 0.085959 | 0.054133 |
| 106 | Namibia | 0.2798 | 1.371271 | 0.014601 | 1.312830 | 0.043841 |
| 107 | Nepal | 0.5513 | 0.906141 | 0.006784 | 0.892826 | 0.006531 |
| 108 | Netherlands | 0.3475 | 5.815292 | 0.082830 | 0.076063 | 5.656398 |
| 110 | New Zealand | 0.3049 | 0.046521 | 0.000501 | 0.044696 | 0.001323 |
| 111 | Nicaragua | 0.1339 | 0.095497 | 0.002577 | 0.064054 | 0.028866 |
| 112 | Niger | 0.2416 | 0.019009 | 0.000682 | 0.016330 | 0.001997 |
| 113 | Nigeria | 0.3433 | 0.067547 | 0.000799 | 0.054602 | 0.012146 |
| 114 | North Macedonia | 0.4112 | 4.548029 | 0.140192 | 4.025721 | 0.382115 |
| 115 | Norway | 0.4055 | 1.200167 | 0.010804 | 0.334101 | 0.855263 |
| 116 | Oman | 0.7926 | 2.865288 | 0.032506 | 2.700318 | 0.132463 |
| 117 | Pakistan | 0.1227 | 0.250961 | 0.005416 | 0.230941 | 0.014604 |
| 118 | Panama | 0.5722 | 7.622321 | 0.127364 | 6.773850 | 0.721107 |
| 119 | Paraguay | 0.3974 | 1.896664 | 0.038691 | 1.562591 | 0.295382 |
| 120 | Peru | 1.6382 | 3.573742 | 0.127751 | 3.310514 | 0.135477 |
| 121 | Philippines | 0.7243 | 0.488699 | 0.010139 | 0.445757 | 0.032803 |
| 122 | Poland | 0.2057 | 4.028175 | 0.101632 | 3.392335 | 0.534208 |
| 123 | Portugal | 0.2825 | 7.429605 | 0.136070 | 5.846836 | 1.446699 |
| 124 | Republic of Moldova | 0.2987 | 4.646195 | 0.099859 | 4.333692 | 0.212645 |
| 125 | Romania | 0.2930 | 3.863328 | 0.097755 | 3.583358 | 0.182215 |
| 126 | Russian Federation | 0.2138 | 2.663104 | 0.051120 | 2.316142 | 0.295842 |
| 127 | Rwanda | 9.6727 | 0.126135 | 0.001675 | 0.093013 | 0.031447 |
| 128 | Saint Kitts and Nevis | 0.3596 | 0.074074 | 0.000000 | 0.066667 | 0.007407 |
| 129 | Saint Lucia | 0.3741 | 0.996154 | 0.009890 | 0.480769 | 0.505495 |
| 130 | Saint Vincent and the Grenadines | 0.7526 | 1.082883 | 0.002703 | 0.361261 | 0.718919 |
| 131 | Samoa | 0.6287 | 0.001000 | 0.000000 | 0.001000 | 0.000000 |
| 132 | Sao Tome and Principe | 1.2013 | 0.643333 | 0.008571 | 0.504762 | 0.130000 |
| 133 | Saudi Arabia | 0.4219 | 1.055795 | 0.018256 | 1.030898 | 0.006641 |
| 134 | Senegal | 0.0815 | 0.170145 | 0.004031 | 0.139107 | 0.027007 |
| 135 | Serbia | 0.5780 | 5.840908 | 0.059106 | 0.000000 | 5.781803 |
| 136 | Sierra Leone | 0.2610 | 0.047286 | 0.000990 | 0.030738 | 0.015557 |
| 137 | Slovakia | 0.1386 | 4.792640 | 0.094013 | 4.361424 | 0.337202 |
| 138 | Slovenia | 0.4606 | 8.235901 | 0.171755 | 7.312934 | 0.751213 |
| 139 | Solomon Islands | 0.5690 | 0.002378 | 0.000000 | 0.001399 | 0.000979 |
| 140 | South Africa | 0.0854 | 2.471490 | 0.077447 | 2.248100 | 0.145943 |
| 141 | Spain | 0.3750 | 6.176110 | 0.128867 | 0.315684 | 5.731559 |
| 142 | Sri Lanka | 0.5791 | 0.312604 | 0.001600 | 0.285335 | 0.025669 |
| 143 | Sudan | 0.3961 | 0.067582 | 0.004176 | 0.049702 | 0.013704 |
| 144 | Suriname | 0.2335 | 1.429752 | 0.026446 | 1.318017 | 0.085289 |
| 145 | Sweden | 0.3556 | 5.666975 | 0.116749 | 0.000000 | 5.550226 |
| 146 | Switzerland | 0.3379 | 6.160215 | 0.111258 | 3.678480 | 2.370477 |
| 147 | Taiwan* | 0.2956 | 0.003914 | 0.000038 | 0.003571 | 0.000305 |
| 148 | Tajikistan | 0.3566 | 0.141139 | 0.000955 | 0.140185 | 0.000000 |
| 149 | Thailand | 0.5060 | 0.035126 | 0.000119 | 0.025464 | 0.009544 |
| 150 | Timor-Leste | 1.3007 | 0.006070 | 0.000000 | 0.004628 | 0.001442 |
| 151 | Togo | 0.0624 | 0.065660 | 0.000954 | 0.054777 | 0.009929 |
| 152 | Trinidad and Tobago | 0.3205 | 0.556026 | 0.009861 | 0.529949 | 0.016216 |
| 153 | Tunisia | 0.4068 | 1.817216 | 0.060205 | 1.453304 | 0.303707 |
| 154 | Turkey | 0.3292 | 3.015138 | 0.031868 | 2.881050 | 0.102220 |
| 156 | Uganda | 0.7164 | 0.087058 | 0.000715 | 0.031370 | 0.054973 |
| 157 | Ukraine | 0.3084 | 3.075923 | 0.059206 | 2.653382 | 0.363335 |
| 158 | United Arab Emirates | 0.6766 | 3.307445 | 0.009348 | 3.079168 | 0.218930 |
| 159 | United Kingdom | 0.4219 | 5.868483 | 0.167220 | 0.015161 | 5.686102 |
| 160 | United Republic of Tanzania | 0.2698 | 0.000852 | 0.000035 | 0.000306 | 0.000511 |
| 161 | United States of America | 0.4426 | 8.159922 | 0.140103 | 0.000000 | 8.019819 |
| 162 | Uruguay | 0.1777 | 1.269102 | 0.013622 | 1.089465 | 0.166015 |
| 163 | Uzbekistan | 0.5830 | 0.231302 | 0.001817 | 0.226751 | 0.002733 |
| 164 | Vanuatu | 0.3052 | 0.000312 | 0.000000 | 0.000312 | 0.000000 |
| 165 | Venezuela (Bolivarian Republic of) | 0.9640 | 0.452585 | 0.004287 | 0.424399 | 0.023899 |
| 166 | Vietnam | 0.4079 | 0.002063 | 0.000036 | 0.001526 | 0.000501 |
| 167 | Yemen | 0.2564 | 0.007131 | 0.002062 | 0.004788 | 0.000282 |
| 168 | Zambia | 0.1343 | 0.334133 | 0.004564 | 0.290524 | 0.039045 |
| 169 | Zimbabwe | 0.0614 | 0.232033 | 0.008854 | 0.190964 | 0.032214 |
plt.figure(figsize = (12, 8))
x = np.array(covid_fruits_df['Fruits - Excluding Wine'])
y = np.array(covid_fruits_df['Deaths'])
plt.plot(x, y, 'o', color = 'red')
m, b = np.polyfit(x, y, 1)
plt.plot(x, (m * x) + b, color = 'black')
plt.grid()
plt.title("Fruit Consumption (Excluding Wine) vs. COVID-19 Deaths", fontsize = 20)
plt.ylabel("Deaths", fontsize = 18)
plt.xlabel("Fruit Consumption", fontsize = 18)
Text(0.5, 0, 'Fruit Consumption')
# Recreating 'Fruit - Excluding Wine' column to encompass OLS Regression Results
covid_fruits_df['temp_fruits_excluding_wine'] = covid_fruits_df['Fruits - Excluding Wine']
# Print Regression Results for Fruit Consumption
regression_results = sm.ols(formula = 'Deaths ~ temp_fruits_excluding_wine', data = covid_fruits_df).fit()
# Create first parameter for linear regression model
first_param = [[x] for x in covid_fruits_df['Fruits - Excluding Wine']]
# Create second parameter for linear regression model
second_param = [[y] for y in covid_fruits_df['Deaths']]
# Create a variable to call the linearRegression import above
lin_regression = linear_model.LinearRegression()
# Create variable to store linear regression model data
lin_reg_model = lin_regression.fit(first_param, second_param)
# Create coefficient for the above variable
format_one = lin_reg_model.coef_[0]
#Obtain y-intercept of above variable
format_two = lin_reg_model.intercept_
# Print the data for the fitted model
print (regression_results.summary())
# Print new line for spacing purposes
print ()
# prints the output in slope intercept form
print ("Linear Regression Model (Slopt Intercept Form): Y = {0}x + {1}".format(format_one, format_two))
# Print new line for spacing purposes
print ()
# Find the p-value
slope, intercept, r_value, p_value, stderr = stats.linregress(covid_fruits_df['Fruits - Excluding Wine'],
covid_fruits_df['Deaths'])
# Print the p-value
print ("The P-Value is: ", p_value)
OLS Regression Results
==============================================================================
Dep. Variable: Deaths R-squared: 0.010
Model: OLS Adj. R-squared: 0.004
Method: Least Squares F-statistic: 1.667
Date: Tue, 14 Dec 2021 Prob (F-statistic): 0.198
Time: 17:13:14 Log-Likelihood: 264.19
No. Observations: 164 AIC: -524.4
Df Residuals: 162 BIC: -518.2
Df Model: 1
Covariance Type: nonrobust
==============================================================================================
coef std err t P>|t| [0.025 0.975]
----------------------------------------------------------------------------------------------
Intercept 0.0425 0.005 9.407 0.000 0.034 0.051
temp_fruits_excluding_wine -0.0058 0.004 -1.291 0.198 -0.015 0.003
==============================================================================
Omnibus: 26.668 Durbin-Watson: 2.057
Prob(Omnibus): 0.000 Jarque-Bera (JB): 35.553
Skew: 1.140 Prob(JB): 1.90e-08
Kurtosis: 3.090 Cond. No. 1.84
==============================================================================
Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
Linear Regression Model (Slopt Intercept Form): Y = [-0.00577016]x + [0.04254187]
The P-Value is: 0.19848679481002798
Observations After Evaluation #5
We have provided a table illustrating the data between Fruit consumption rates (excluding wine) and COVID-19 deaths in various different countries around the world. Additionally, we have provided a scatter plot which illustrates the relation between fruit consumption rates and COVID-19 deaths. Lastly, we have provided OLS regression results that stem from data from the table we created above. As you can see, we determined the p-value from the results of our calculations. The p-value for a statistical model is the probability that when the null hypothesis is true, the statistical summary is equal to or greater than the actual observed results. In this case, the p-value we calculated above is 0.19848679481002798. Subsequently, this value is greater than 0.05, which infers that it is statistically NOT significant. It indicates no strong evidence against the null hypothesis, as there is greater than a 5% probability that the null hypothesis is correct. Therefore, we FAILED to reject the null hypothesis and instead accept the null hypothesis, which concludes that there is NOT a significant correlation between fruit consumption rates and COVID-19 deaths in each country around the world from our dataset. Therefore since we fail to reject the null hypothesis stated above; eating fruits does indeed help support our immune system which will help us fight against the COVID-19 virus.
Ideas
-- Look up where the protein diets of certain countries are
-- Note: Similar to interaction terms that were talked about in project 3 with continent and life expectancy
<1i> Group countries into different regions of the world and take the violin plots of different features - such as region of the world and obesity, region of the world and meat, etc.
- Asia, Middle East. North Africa.Greater Arabia, Europe, North America, South America, Central America and the Caribbean, South America, Sub-Saharan Africa, Australia and Oceania
Country And Covid Deaths
Does the country itself affect the Coronavirus Deaths based on the information from our dataset?
#fig, ax = plt.subplots(figsize = (10,5))
countries_list = covid_df['Country'].unique()
country_arr = []
for c in countries_list:
country = covid_df[covid_df.Country == c].Deaths
# Extracted value from the filtered dataframe for the deaths percentage of Coronavirus for each country
val = country.values[0]
country_arr.append(val)
#ax.scatter(countries_list, country_arr)
# Make a dataframe with these two columns to plot on Violin plot
covid_data = {'Country': countries_list, 'Death_Rate': country_arr}
cut_df = pd.DataFrame(covid_data)
#ax = sns.violinplot(x= cut_df['Death_Rate'])
fig = px.violin(cut_df, y='Death_Rate', box = True, points = 'all')
fig.show()
# Plot the countries in terms of the covid deaths for each
#sns.violinplot(countries_list, country_arr,widths=4,showmeans=True)
#ax = sns.violinplot(x= "countries", y= "death Rates (Percentage)", data=cut_df)
#ax.set_xlabel("Year")
#ax.set_ylabel("Life Expectancy")
#ax.set_title("Life Expectancy Across Time")
#Standardization of countries based on population
# This has the codes for the countries so that we can make a map which plots the different traits from our main dataset
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv')
country_codes = []
# This loop will allow us to now get the correct countries for the map
for i in df['COUNTRY']:
# This will figure out if the country exists in our dataset (Some of the countries in the above dataset aren't in our data)
if i == "Bahamas, The":
country_codes.append("NaN")
if i == "Gambia, The":
country_codes.append("NaN")
if i == "Czech Republic":
country_codes.append("NaN")
if i == "Congo, Democratic Republic of the" or i == "Congo, Republic of the":
country_codes.append("NaN")
# We don't want anymore NaN's since there's technically only one Congo in our actual dataset
if i == "Congo, Democratic Republic of the":
country_codes.pop()
elif cut_df['Country'].str.contains(i).any():
# This will get the proper code for the country
c = df.loc[df.COUNTRY == i, 'CODE']
#Extracts the code
country_codes.append(c.values[0])
# This will make changes to the list in the current iteration so we can have the proper countries with their codes
if i == "Estonia":
country_codes.append("NaN")
if i == "Kyrgyzstan":
country_codes.append("LAO")
if i == "Nigeria":
country_codes.append("NaN")
if i == "Macedonia":
country_codes.pop()
country_codes.append("MDG")
cut_df['Country_Code'] = country_codes
# Need to specifically change some country codes
cut_df.loc[cut_df.Country == 'Bahamas', 'Country_Code'] = 'BHM'
cut_df.loc[cut_df.Country == 'Congo', 'Country_Code'] = 'COD'
cut_df.loc[cut_df.Country == 'Czechia', 'Country_Code'] = 'CZE'
cut_df.loc[cut_df.Country == 'Eswatini', 'Country_Code'] = 'NaN'
cut_df.loc[cut_df.Country == 'Gambia', 'Country_Code'] = 'GMB'
cut_df.loc[cut_df.Country == 'Guinea-Bissau', 'Country_Code'] = 'GNB'
cut_df.loc[cut_df.Country == 'Guinea', 'Country_Code'] = 'GIN'
cut_df.loc[cut_df.Country == 'Myanmar', 'Country_Code'] = 'NaN'
cut_df.loc[cut_df.Country == 'Nigeria', 'Country_Code'] = 'NGA'
cut_df.loc[cut_df.Country == 'Niger', 'Country_Code'] = 'NER'
cut_df.loc[cut_df.Country == 'North Macedonia', 'Country_Code'] = 'NaN'
cut_df.loc[cut_df.Country == 'Republic of Moldova', 'Country_Code'] = 'MDA'
cut_df.loc[cut_df.Country == 'Malawi', 'Country_Code'] = 'MWI'
cut_df.loc[cut_df.Country == 'Malaysia', 'Country_Code'] = 'MYS'
cut_df.loc[cut_df.Country == 'Maldives', 'Country_Code'] = 'MDV'
cut_df.loc[cut_df.Country == 'Mali', 'Country_Code'] = 'MLI'
cut_df.loc[cut_df.Country == 'Malta', 'Country_Code'] = 'MLT'
cut_df.loc[cut_df.Country == 'Mauritania', 'Country_Code'] = 'MRT'
cut_df.loc[cut_df.Country == 'Mauritius', 'Country_Code'] = 'MUS'
cut_df.loc[cut_df.Country == 'Mexico', 'Country_Code'] = 'MEX'
cut_df.loc[cut_df.Country == 'Mongolia', 'Country_Code'] = 'MNG'
cut_df.loc[cut_df.Country == 'Montenegro', 'Country_Code'] = 'MNE'
cut_df.loc[cut_df.Country == 'Morocco', 'Country_Code'] = 'MAR'
cut_df.loc[cut_df.Country == 'Mozambique', 'Country_Code'] = 'MOZ'
cut_df.loc[cut_df.Country == 'Namibia', 'Country_Code'] = 'NAM'
cut_df.loc[cut_df.Country == 'Nepal', 'Country_Code'] = 'NPL'
cut_df.loc[cut_df.Country == 'Netherlands', 'Country_Code'] = 'NLD'
cut_df.loc[cut_df.Country == 'New Caledonia', 'Country_Code'] = 'NCL'
cut_df.loc[cut_df.Country == 'New Zealand', 'Country_Code'] = 'NZL'
cut_df.loc[cut_df.Country == 'Nicaragua', 'Country_Code'] = 'NIC'
cut_df.loc[cut_df.Country == 'Norway', 'Country_Code'] = 'NOR'
cut_df.loc[cut_df.Country == 'Oman', 'Country_Code'] = 'OMN'
cut_df.loc[cut_df.Country == 'Pakistan', 'Country_Code'] = 'PAK'
cut_df.loc[cut_df.Country == 'Panama', 'Country_Code'] = 'PAN'
cut_df.loc[cut_df.Country == 'Paraguay', 'Country_Code'] = 'PRY'
cut_df.loc[cut_df.Country == 'Peru', 'Country_Code'] = 'PER'
cut_df.loc[cut_df.Country == 'Philippines', 'Country_Code'] = 'PHL'
cut_df.loc[cut_df.Country == 'Poland', 'Country_Code'] = 'POL'
cut_df.loc[cut_df.Country == 'Portugal', 'Country_Code'] = 'PRT'
cut_df.loc[cut_df.Country == 'Thailand', 'Country_Code'] = 'THA'
cut_df.loc[cut_df.Country == 'Timor-Leste', 'Country_Code'] = 'TLS'
cut_df.loc[cut_df.Country == 'Togo', 'Country_Code'] = 'TGO'
cut_df.loc[cut_df.Country == 'Trinidad and Tobago', 'Country_Code'] = 'TTO'
cut_df.loc[cut_df.Country == 'Tunisia', 'Country_Code'] = 'TUN'
cut_df.loc[cut_df.Country == 'Turkey', 'Country_Code'] = 'TUR'
cut_df.loc[cut_df.Country == 'Turkmenistan', 'Country_Code'] = 'TKM'
cut_df.loc[cut_df.Country == 'Uganda', 'Country_Code'] = 'UGA'
cut_df.loc[cut_df.Country == 'Ukraine', 'Country_Code'] = 'UKR'
cut_df.loc[cut_df.Country == 'United Arab Emirates', 'Country_Code'] = 'ARE'
cut_df.loc[cut_df.Country == 'United Kingdom', 'Country_Code'] = 'GBR'
cut_df.loc[cut_df.Country == 'United Republic of Tanzania', 'Country_Code'] = 'TZA'
# Need loop to put codes in Dataframe
fig = go.Figure(data=go.Choropleth(
locations = cut_df['Country_Code'],
z = cut_df['Death_Rate'],
text = cut_df['Country'],
colorscale = 'Reds',
autocolorscale=False,
reversescale=False,
marker_line_color='darkgray',
marker_line_width=0.5,
colorbar_tickprefix = '',
colorbar_title = 'Death Rate<br>Percentage %',
))
fig.update_layout(
title_text='Death Rate',
autosize = False,
width = 800,
height = 800,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
/opt/conda/lib/python3.8/site-packages/pandas/core/strings.py:2001: UserWarning: This pattern has match groups. To actually get the groups, use str.extract.
Region of the World And Covid Deaths
In order to get some insight about the regions of the world as a whole, let's look at some violin plot data based on a couple of features of our dataset including
And see if any of these percentages based on the regions have a greater impact on the covid-deaths
# Creating a dataframe to include the regions of Countries
# https://www.thoughtco.com/official-listing-of-countries-world-region-1435153
regions_covid_df = covid_df
food_regions_df = covid_food_df
regions_list = []
Asia = ['Bangladesh', 'Cambodia', 'China', 'India', 'Indonesia', 'Japan', 'Kazakhstan', 'Korea, North',
'Korea, South', 'Kyrgyzstan', "Lao People's Democratic Republic", 'Malaysia', 'Maldives', 'Mongolia', 'Myanmar', 'Nepal',
'Philippines', 'Sri Lanka', "Taiwan*", 'Tajikistan', 'Thailand', "Turkmenistan", 'Uzbekistan', 'Vietnam']
Middle_East_North_Africa_Greater_Arabia= ['Afghanistan', 'Algeria', 'Azerbaijan', 'Egypt', 'Iran (Islamic Republic of)', 'Iraq', 'Israel', 'Jordan',
'Kuwait', 'Lebanon', 'Morocco', 'Oman', 'Pakistan', 'Saudi Arabia', 'Tunisia', 'Turkey', 'United Arab Emirates', 'Yemen']
Europe = ['Albania', 'Armenia', 'Austria', 'Belarus', 'Belgium', 'Bosnia and Herzegovina', 'Bulgaria', 'Croatia', 'Cyprus',
'Czechia', 'Denmark', 'Estonia', 'Finland', 'France', 'Georgia', 'Germany', 'Greece', 'Hungary', 'Iceland',
'Ireland', 'Italy', "Latvia", 'Lithuania', 'Luxembourg', 'North Macedonia', 'Malta', 'Republic of Moldova', 'Montenegro', 'Netherlands',
'Norway', 'Poland', 'Portugal', 'Romania', 'Russian Federation', 'Serbia', 'Slovakia', 'Slovenia', 'Spain', 'Sweden', 'Switzerland',
'Ukraine', 'United Kingdom']
North_America = ['Canada', 'Mexico', "United States of America"]
Central_America_and_Caribbean = ['Antigua and Barbuda', 'Bahamas', 'Barbados', 'Belize', 'Costa Rica', 'Cuba', 'Dominica', 'Dominican Republic', 'El Salvador', 'Grenada',
'Guatemala', 'Haiti', 'Honduras', 'Jamaica', 'Nicaragua', 'Panama', 'Saint Kitts and Nevis', 'Saint Lucia',
'Saint Vincent and the Grenadines', 'Trinidad and Tobago']
South_America = ['Argentina', 'Bolivia', 'Brazil', 'Chile', 'Colombia', 'Ecuador','Guyana', 'Paraguay', 'Peru', 'Suriname', 'Uruguay', 'Venezuela (Bolivarian Republic of)']
Sub_Saharan_Africa = ['Angola', 'Benin', 'Botswana', 'Burkina Faso', 'Cabo Verde', 'Cameroon', 'Central African Republic', 'Chad',
'Congo', "Cote d'Ivoire", 'Djibouti', 'Eswatini', 'Ethiopia', 'Gabon', 'Gambia', 'Ghana', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Liberia',
'Madagascar', 'Malawi', 'Mali', 'Mauritania', 'Mauritius', 'Mozambique', 'Namibia', 'Niger', 'Nigeria', 'Rwanda',
'Sao Tome and Principe', 'Senegal', 'Sierra Leone', 'South Africa', 'Sudan', 'United Republic of Tanzania',
'Togo', 'Uganda', 'Zambia', 'Zimbabwe']
Australia_and_Oceania = ['Australia', 'Fiji', 'French Polynesia', 'Kiribati', 'New Caledonia', 'New Zealand', 'Samoa', 'Solomon Islands', 'Timor-Leste', 'Vanuatu' ]
# Figuring out which countries are in which regions and then appending those to a list that will be combined into the dataframe
for i in regions_covid_df['Country']:
if i in Asia:
regions_list.append('Asia')
if i in Middle_East_North_Africa_Greater_Arabia:
regions_list.append('Middle East, North Africa, Greater Arabia')
if i in Europe:
regions_list.append('Europe')
if i in North_America:
regions_list.append('North America')
if i in Central_America_and_Caribbean:
regions_list.append('Central America, Caribbean')
if i in South_America:
regions_list.append('South America')
if i in Sub_Saharan_Africa:
regions_list.append('Sub-Saharan Africa')
if i in Australia_and_Oceania:
regions_list.append('Australia, Oceania')
# Fat Supply Quantity Dataset
regions_covid_df['Region'] = regions_list
# Food Quantity Dataset
food_regions_df['Region'] = regions_list
# Placed the Region column farther up front in the dataframe, next to the Country
regions_covid_df = regions_covid_df[['Country', 'Region', 'Alcoholic Beverages', 'Animal fats', 'Animal Products', 'Aquatic Products, Other',
'Cereals - Excluding Beer', 'Eggs', 'Fish, Seafood', 'Fruits - Excluding Wine', 'Meat',
'Miscellaneous', 'Milk - Excluding Butter', 'Vegetables', 'Offals', 'Oilcrops', 'Pulses', 'Spices',
'Starchy Roots', 'Stimulants', 'Sugar Crops', 'Sugar & Sweeteners', 'Treenuts',
'Vegetal Products', 'Vegetable Oils', 'Fruits - Excluding Wine', 'Deaths', 'Confirmed', 'Obesity', 'Undernourished',
'Population', 'Recovered', 'Active',
'Unit (all except Population)']]
regions_covid_df
| Country | Region | Alcoholic Beverages | Animal fats | Animal Products | Aquatic Products, Other | Cereals - Excluding Beer | Eggs | Fish, Seafood | Fruits - Excluding Wine | Meat | Miscellaneous | Milk - Excluding Butter | Vegetables | Offals | Oilcrops | Pulses | Spices | Starchy Roots | Stimulants | Sugar Crops | Sugar & Sweeteners | Treenuts | Vegetal Products | Vegetable Oils | Fruits - Excluding Wine | Deaths | Confirmed | Obesity | Undernourished | Population | Recovered | Active | Unit (all except Population) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Middle East, North Africa, Greater Arabia | 0.0000 | 6.2224 | 21.6397 | 0.0000 | 8.0353 | 0.6859 | 0.0327 | 0.4246 | 6.1244 | 0.0163 | 8.2803 | 0.3593 | 0.3103 | 1.0452 | 0.1960 | 0.2776 | 0.0490 | 0.0980 | 0.0000 | 0.0000 | 0.7513 | 28.3684 | 17.0831 | 0.4246 | 0.006186 | 0.142134 | 4.5 | 29.8 | 3.892800e+07 | 0.123374 | 0.012574 | % |
| 1 | Albania | Europe | 0.0000 | 3.4172 | 32.0002 | 0.0000 | 2.6734 | 1.6448 | 0.1445 | 0.6418 | 8.7428 | 0.0170 | 17.7576 | 0.6503 | 0.2933 | 3.1622 | 0.1148 | 0.0000 | 0.0510 | 0.5270 | 0.0000 | 0.0000 | 0.9181 | 17.9998 | 9.2443 | 0.6418 | 0.050951 | 2.967301 | 22.3 | 6.2 | 2.838000e+06 | 1.792636 | 1.123714 | % |
| 2 | Algeria | Middle East, North Africa, Greater Arabia | 0.0000 | 0.8972 | 14.4175 | 0.0000 | 4.2035 | 1.2171 | 0.2008 | 0.5772 | 3.8961 | 0.0439 | 8.0934 | 0.5145 | 0.1067 | 1.1983 | 0.2698 | 0.1568 | 0.1129 | 0.2886 | 0.0000 | 0.0000 | 0.8595 | 35.5857 | 27.3606 | 0.5772 | 0.006558 | 0.244897 | 26.6 | 3.9 | 4.435700e+07 | 0.167572 | 0.070767 | % |
| 3 | Angola | Sub-Saharan Africa | 0.0000 | 1.3130 | 15.3041 | 0.0000 | 6.5545 | 0.1539 | 1.4155 | 0.3488 | 11.0268 | 0.0308 | 1.2309 | 0.1231 | 0.1539 | 3.9902 | 0.3282 | 0.0103 | 0.7078 | 0.1128 | 0.0000 | 0.0000 | 0.0308 | 34.7010 | 22.4638 | 0.3488 | 0.001461 | 0.061687 | 6.8 | 25 | 3.252200e+07 | 0.056808 | 0.003419 | % |
| 4 | Antigua and Barbuda | Central America, Caribbean | 0.0000 | 4.6686 | 27.7033 | 0.0000 | 3.2153 | 0.3872 | 1.5263 | 1.2177 | 14.3202 | 0.0898 | 6.6607 | 0.2469 | 0.1347 | 1.3579 | 0.0673 | 0.3591 | 0.0449 | 1.0549 | 0.0000 | 0.0000 | 0.2020 | 22.2995 | 14.4436 | 1.2177 | 0.007143 | 0.293878 | 19.1 | NaN | 9.800000e+04 | 0.190816 | 0.095918 | % |
| 5 | Argentina | South America | 0.0000 | 3.3076 | 30.3572 | 0.0000 | 1.3316 | 1.5706 | 0.1664 | 0.2091 | 19.2693 | 0.0000 | 5.8512 | 0.1878 | 0.1878 | 0.0640 | 0.0213 | 0.0213 | 0.1110 | 0.2475 | 0.0000 | 0.0000 | 0.1366 | 19.6449 | 17.3147 | 0.2091 | 0.108227 | 4.356147 | 28.5 | 4.6 | 4.537700e+07 | 3.905192 | 0.342729 | % |
| 6 | Armenia | Europe | 0.0000 | 6.2619 | 29.6642 | 0.0000 | 2.5068 | 1.6196 | 0.2218 | 0.5468 | 10.8165 | 0.0361 | 10.4709 | 0.8717 | 0.2734 | 0.6602 | 0.0774 | 0.0103 | 0.0567 | 1.8002 | 0.0000 | 0.0000 | 0.9542 | 20.3384 | 12.8127 | 0.5468 | 0.105345 | 5.681225 | 20.9 | 4.3 | 2.956000e+06 | 5.398410 | 0.177470 | % |
| 7 | Australia | Australia, Oceania | 0.0000 | 4.6030 | 24.1099 | 0.0000 | 0.9908 | 0.7017 | 0.4515 | 0.4028 | 11.6002 | 0.0520 | 6.5196 | 0.2144 | 0.2339 | 1.2929 | 0.0260 | 0.1007 | 0.0422 | 0.7926 | 0.0000 | 0.0000 | 1.6145 | 25.8901 | 20.3612 | 0.4028 | 0.003530 | 0.112025 | 30.4 | <2.5 | 2.575400e+07 | 0.101289 | 0.007207 | % |
| 8 | Austria | Europe | 0.0000 | 12.8517 | 27.8268 | 0.0000 | 1.2297 | 1.2147 | 0.4259 | 0.2249 | 8.1099 | 0.0000 | 5.1497 | 0.2039 | 0.0750 | 1.1367 | 0.0120 | 0.1020 | 0.0450 | 0.4439 | 0.0000 | 0.0000 | 0.8398 | 22.1762 | 17.9323 | 0.2249 | 0.089679 | 4.739982 | 21.9 | <2.5 | 8.914000e+06 | 4.496870 | 0.153433 | % |
| 9 | Azerbaijan | Middle East, North Africa, Greater Arabia | 0.0000 | 7.7987 | 32.1198 | 0.0000 | 5.4481 | 2.0197 | 0.2122 | 0.5940 | 11.9993 | 0.0170 | 9.9202 | 0.6534 | 0.1612 | 0.1867 | 0.0255 | 0.0170 | 0.1697 | 1.3663 | 0.0000 | 0.0000 | 2.2573 | 17.8802 | 7.1538 | 0.5940 | 0.031223 | 2.285536 | 19.9 | <2.5 | 1.010800e+07 | 2.225574 | 0.028740 | % |
| 10 | Bahamas | Central America, Caribbean | 0.0000 | 4.5600 | 30.2259 | 0.0000 | 3.6327 | 1.2829 | 1.4991 | 0.8995 | 17.4941 | 0.3556 | 5.1318 | 0.3974 | 0.2580 | 2.6077 | 0.0209 | 0.2719 | 0.0349 | 0.9343 | 0.0000 | 0.0000 | 0.4532 | 19.7741 | 10.1659 | 0.8995 | 0.044784 | 2.100763 | 32.1 | NaN | 3.930000e+05 | 1.735115 | 0.320865 | % |
| 11 | Bangladesh | Asia | 0.0000 | 1.2369 | 9.8365 | 0.0000 | 6.9946 | 1.2664 | 2.1646 | 0.4270 | 1.8407 | 0.0147 | 3.2249 | 0.3092 | 0.1178 | 0.6332 | 0.5448 | 1.0602 | 0.2209 | 0.0295 | 0.0147 | 0.0000 | 0.2651 | 40.1561 | 29.6422 | 0.4270 | 0.004823 | 0.316691 | 3.4 | 14.7 | 1.698090e+08 | 0.284344 | 0.027524 | % |
| 12 | Barbados | Central America, Caribbean | 0.0000 | 3.9733 | 25.8451 | 0.0000 | 2.1187 | 1.2130 | 1.8060 | 0.4636 | 13.1382 | 0.3235 | 5.6176 | 0.2534 | 0.0970 | 3.2616 | 0.2318 | 0.3181 | 0.1078 | 0.6038 | 0.0000 | 0.0000 | 0.7817 | 24.1576 | 15.6882 | 0.4636 | 0.006272 | 0.583972 | 24.8 | 3.9 | 2.870000e+05 | 0.470035 | 0.107666 | % |
| 13 | Belarus | Europe | 0.0000 | 7.8662 | 23.8181 | 0.0000 | 4.8075 | 1.5772 | 0.5151 | 0.2316 | 11.5636 | 0.0519 | 2.0644 | 0.3394 | 0.2316 | 0.4392 | 0.0000 | 0.0160 | 0.1957 | 0.8385 | 0.0000 | 0.0000 | 1.0462 | 26.1859 | 18.2119 | 0.2316 | 0.018912 | 2.740896 | 26.6 | <2.5 | 9.375000e+06 | 2.612704 | 0.109280 | % |
| 14 | Belgium | Europe | 0.0000 | 12.6234 | 26.7378 | 0.0000 | 1.3531 | 1.1703 | 0.6188 | 0.2373 | 5.6817 | 0.0000 | 6.5057 | 0.2982 | 0.1379 | 0.5226 | 0.0353 | 0.0994 | 0.0770 | 0.0834 | 0.0000 | 0.0000 | 1.2056 | 23.2622 | 19.3504 | 0.2373 | 0.185428 | 6.286322 | 24.5 | <2.5 | 1.151500e+07 | 0.000000 | 6.100894 | % |
| 15 | Belize | Central America, Caribbean | 0.0000 | 9.8102 | 23.7877 | 0.0000 | 3.0510 | 0.6759 | 0.4155 | 0.3039 | 10.3435 | 0.1984 | 2.5053 | 0.2108 | 0.0310 | 1.4511 | 0.3783 | 0.0496 | 0.0310 | 0.8062 | 0.0000 | 0.0000 | 0.3845 | 26.2123 | 19.3538 | 0.3039 | 0.073031 | 2.872792 | 22.4 | 7.5 | 4.190000e+05 | 2.739618 | 0.060143 | % |
| 16 | Benin | Sub-Saharan Africa | 0.0000 | 0.4816 | 6.1742 | 0.0000 | 4.6952 | 0.2064 | 0.8599 | 0.1978 | 3.2849 | 0.0258 | 1.2469 | 0.3612 | 0.0946 | 7.3007 | 0.6535 | 2.5970 | 1.0835 | 0.1118 | 0.0000 | 0.0000 | 1.9176 | 43.8301 | 24.8775 | 0.1978 | 0.000450 | 0.034344 | 8.2 | 10.1 | 1.220900e+07 | 0.029183 | 0.004710 | % |
| 17 | Bolivia | South America | 0.0000 | 4.1685 | 30.4177 | 0.0000 | 2.7296 | 1.5174 | 0.1831 | 0.5407 | 21.1476 | 0.0436 | 3.2703 | 0.1919 | 0.1395 | 1.3604 | 0.2093 | 0.1483 | 0.4796 | 0.7849 | 0.0000 | 0.0000 | 0.7413 | 19.5779 | 12.3485 | 0.5407 | 0.092435 | 1.952446 | 18.7 | 17.1 | 1.163300e+07 | 1.438614 | 0.421396 | % |
| 18 | Bosnia and Herzegovina | Europe | 0.0000 | 2.4453 | 24.6478 | 0.0000 | 3.6588 | 0.8354 | 0.3049 | 0.5976 | 9.6957 | 0.0915 | 11.2629 | 0.7866 | 0.1037 | 0.9208 | 0.2012 | 2.2196 | 0.1342 | 2.4819 | 0.0000 | 0.0000 | 0.9574 | 25.3552 | 13.2996 | 0.5976 | 0.145535 | 3.762085 | 19.4 | <2.5 | 3.281000e+06 | 2.960317 | 0.656233 | % |
| 19 | Botswana | Sub-Saharan Africa | 0.0000 | 4.1310 | 16.9634 | 0.0000 | 7.1830 | 0.2697 | 0.3622 | 0.1696 | 3.4759 | 0.1927 | 8.5241 | 0.1850 | 0.2081 | 1.1715 | 0.1156 | 0.5472 | 0.1927 | 0.7399 | 0.0000 | 0.0000 | 0.1541 | 33.0328 | 22.3815 | 0.1696 | 0.007035 | 1.014372 | 16.1 | 26.4 | 2.317000e+06 | 0.844799 | 0.162538 | % |
| 20 | Brazil | South America | 0.0000 | 4.3627 | 24.8515 | 0.0000 | 1.1278 | 0.7706 | 0.1886 | 0.2528 | 14.2920 | 0.0000 | 5.1654 | 0.1204 | 0.0763 | 1.7097 | 0.2528 | 0.0080 | 0.1204 | 0.1164 | 0.0361 | 0.0120 | 0.1766 | 25.1445 | 21.2153 | 0.2528 | 0.108603 | 4.460165 | 22.3 | <2.5 | 2.118120e+08 | 3.979469 | 0.372094 | % |
| 21 | Bulgaria | Europe | 0.0000 | 8.0274 | 27.1456 | 0.0000 | 1.8485 | 1.2201 | 0.3404 | 0.2723 | 9.3523 | 0.0262 | 7.9698 | 0.2461 | 0.2356 | 1.6547 | 0.0471 | 0.6179 | 0.0367 | 0.1885 | 0.0000 | 0.0000 | 0.3404 | 22.8518 | 17.5787 | 0.2723 | 0.134416 | 3.227256 | 27.4 | 3.6 | 6.927000e+06 | 2.788956 | 0.303883 | % |
| 22 | Burkina Faso | Sub-Saharan Africa | 0.0000 | 0.5981 | 7.2367 | 0.0000 | 10.5524 | 0.4061 | 0.3692 | 0.0443 | 3.5741 | 0.0148 | 2.1636 | 0.0665 | 0.1255 | 11.9406 | 0.5391 | 0.0960 | 0.0369 | 0.0222 | 0.0000 | 0.0000 | 0.2658 | 42.7706 | 19.1774 | 0.0443 | 0.000641 | 0.053710 | 4.5 | 20 | 2.090300e+07 | 0.048031 | 0.005038 | % |
| 23 | Cabo Verde | Sub-Saharan Africa | 0.0000 | 4.2923 | 21.9578 | 0.0000 | 5.1318 | 0.8468 | 0.5256 | 0.1898 | 9.9204 | 0.1679 | 6.2851 | 0.3066 | 0.0803 | 1.4819 | 0.4526 | 0.9709 | 0.0949 | 0.4161 | 0.0000 | 0.0000 | 0.1752 | 28.0385 | 18.6656 | 0.1898 | 0.024281 | 2.586331 | 10.6 | 12.6 | 5.560000e+05 | 2.461151 | 0.100899 | % |
| 24 | Cambodia | Asia | 0.0000 | 0.8839 | 18.8510 | 0.0000 | 9.4179 | 0.5639 | 4.8461 | 0.2438 | 11.7799 | 0.1372 | 0.6248 | 0.2591 | 0.1372 | 8.2902 | 0.2743 | 0.5029 | 0.3657 | 0.0610 | 0.0762 | 0.0000 | 0.3048 | 31.1490 | 11.2313 | 0.2438 | 0.000000 | 0.003059 | 3.5 | 16.4 | 1.549700e+07 | 0.002930 | 0.000129 | % |
| 25 | Cameroon | Sub-Saharan Africa | 0.0000 | 0.7838 | 6.3264 | 0.0000 | 6.9796 | 0.0746 | 0.9051 | 0.7931 | 3.3685 | 0.0280 | 1.1197 | 0.5505 | 0.0840 | 9.7509 | 0.8491 | 0.7465 | 0.5319 | 0.1213 | 0.0000 | 0.0000 | 0.1026 | 43.6689 | 23.2155 | 0.7931 | 0.001782 | 0.118031 | 9.5 | 9.9 | 2.659800e+07 | 0.110914 | 0.005335 | % |
| 26 | Canada | North America | 0.0000 | 9.7895 | 23.1663 | 0.0000 | 1.5440 | 1.2437 | 0.4244 | 0.4244 | 7.8211 | 0.0620 | 3.8812 | 0.2220 | 0.0065 | 2.3600 | 0.1991 | 0.0979 | 0.0588 | 0.1795 | 0.0000 | 0.0000 | 1.2110 | 26.8353 | 20.4733 | 0.4244 | 0.054203 | 2.109961 | 31.3 | <2.5 | 3.819000e+07 | 1.909848 | NaN | % |
| 27 | Central African Republic | Sub-Saharan Africa | 0.0000 | 2.8767 | 18.5453 | 0.0000 | 2.7645 | 0.1122 | 0.5509 | 0.4998 | 12.9144 | 0.0102 | 1.7342 | 0.0918 | 0.3468 | 7.0183 | 0.4794 | 0.0102 | 1.0609 | 0.0408 | 0.0000 | 0.0000 | 0.0000 | 31.4598 | 19.4838 | 0.4998 | 0.001304 | 0.103292 | 6.3 | 59.6 | 4.830000e+06 | 0.101139 | 0.000849 | % |
| 28 | Chad | Sub-Saharan Africa | 0.0000 | 3.1261 | 16.8564 | 0.0000 | 7.9860 | 0.0701 | 0.6480 | 0.0701 | 7.8546 | 0.0088 | 4.4308 | 0.0263 | 0.7268 | 16.7863 | 0.5342 | 0.0000 | 0.1926 | 0.0263 | 0.0000 | 0.0000 | 0.0000 | 33.1436 | 7.5131 | 0.0701 | 0.000741 | 0.020578 | 4.8 | 37.5 | 1.687700e+07 | 0.016881 | 0.002957 | % |
| 29 | Chile | South America | 0.0000 | 5.2608 | 32.5206 | 0.0000 | 3.1847 | 1.4085 | 0.5204 | 0.4186 | 20.2172 | 0.0339 | 5.0798 | 0.2602 | 0.0396 | 1.1596 | 0.2093 | 0.0283 | 0.1810 | 0.4356 | 0.0000 | 0.0000 | 0.7241 | 17.4737 | 10.8440 | 0.4186 | 0.097047 | 3.842229 | 28.8 | 2.7 | 1.947000e+07 | 3.626194 | NaN | % |
| 30 | China | Asia | 0.0000 | 3.4468 | 31.0465 | 0.0097 | 2.5989 | 2.3066 | 0.9817 | 0.2344 | 21.6062 | 0.1517 | 2.2156 | 0.5763 | 0.4784 | 1.8351 | 0.0234 | 0.0676 | 0.0565 | 0.9362 | 0.0000 | 0.0179 | 1.7979 | 18.9535 | 10.6590 | 0.2344 | 0.000344 | 0.007156 | 6.6 | 8.5 | 1.402385e+09 | 0.006685 | 0.000126 | % |
| 31 | Colombia | South America | 0.0000 | 1.7819 | 21.4008 | 0.0000 | 1.7347 | 1.7819 | 0.3717 | 1.2273 | 11.3996 | 0.0177 | 5.9535 | 0.1829 | 0.1180 | 0.9854 | 0.1652 | 0.1239 | 0.2832 | 0.2655 | 0.0000 | 0.0000 | 0.5251 | 28.5992 | 23.0824 | 1.2273 | 0.112639 | 4.350795 | 22.1 | 4.8 | 4.944400e+07 | 4.090144 | 0.148012 | % |
| 32 | Congo | Sub-Saharan Africa | 0.0000 | 0.3390 | 12.9993 | 0.0000 | 2.7016 | 0.1377 | 1.8540 | 0.8370 | 9.6514 | 0.0530 | 0.6780 | 0.5827 | 0.3390 | 5.0429 | 0.1483 | 0.0106 | 1.0806 | 0.5191 | 0.0000 | 0.0000 | 0.0212 | 36.9954 | 26.0091 | 0.8370 | 0.014516 | 0.571675 | 8.4 | 40.3 | 5.518000e+06 | 0.379721 | 0.177437 | % |
| 33 | Costa Rica | Central America, Caribbean | 0.0000 | 6.1000 | 20.5571 | 0.0000 | 1.6733 | 1.1492 | 0.9286 | 0.5700 | 5.6449 | 0.0138 | 6.6700 | 0.1701 | 0.0552 | 1.0389 | 0.2436 | 0.0414 | 0.0506 | 0.4045 | 0.0000 | 0.0138 | 0.3540 | 29.4475 | 24.8736 | 0.5700 | 0.052279 | 3.843436 | 25.7 | 4.8 | 5.111000e+06 | 3.055782 | 0.735375 | % |
| 34 | Cote d'Ivoire | Sub-Saharan Africa | 0.0000 | 0.2726 | 5.3253 | 0.0000 | 4.9709 | 0.4271 | 1.2268 | 0.5271 | 2.5809 | 0.0091 | 0.5634 | 0.3272 | 0.2545 | 4.8891 | 0.1000 | 0.6089 | 1.2359 | 1.9357 | 0.0000 | 0.0000 | 2.3355 | 44.6747 | 27.7354 | 0.5271 | 0.000619 | 0.112959 | 9.0 | 19 | 2.617500e+07 | 0.106105 | 0.006235 | % |
| 35 | Croatia | Europe | 0.0000 | 7.4457 | 29.3768 | 0.0000 | 2.9565 | 0.9476 | 0.5633 | 0.2577 | 11.4896 | 0.0000 | 8.7951 | 0.3930 | 0.1310 | 1.8123 | 0.0175 | 0.0655 | 0.0393 | 2.6726 | 0.0000 | 0.0000 | 0.6987 | 20.6254 | 11.7123 | 0.2577 | 0.127960 | 5.848905 | 27.1 | <2.5 | 4.020000e+06 | 5.648706 | 0.072239 | % |
| 36 | Cuba | Central America, Caribbean | 0.0000 | 3.2213 | 25.9025 | 0.0000 | 4.4779 | 1.4788 | 0.2638 | 0.6179 | 16.0233 | 0.0139 | 4.7695 | 0.5554 | 0.1458 | 2.6937 | 0.6248 | 0.0417 | 0.3749 | 0.1458 | 0.0000 | 0.0000 | 0.0069 | 24.0975 | 14.5446 | 0.6179 | 0.002065 | 0.283760 | 26.7 | <2.5 | 1.128100e+07 | 0.230822 | 0.050873 | % |
| 37 | Cyprus | Europe | 0.0000 | 1.8698 | 20.9578 | 0.0000 | 3.4616 | 1.0044 | 0.7309 | 0.3632 | 10.5506 | 0.1614 | 6.6945 | 0.2601 | 0.1031 | 2.1164 | 0.0628 | 0.0538 | 0.0404 | 1.9236 | 0.0000 | 0.0000 | 0.8609 | 29.0467 | 19.7381 | 0.3632 | 0.017481 | 2.621707 | 22.6 | 5.6 | 1.207000e+06 | 0.170423 | 2.433803 | % |
| 38 | Czechia | Europe | 0.0000 | 9.7011 | 25.1685 | 0.0000 | 1.1998 | 0.8222 | 0.3000 | 0.1870 | 8.6212 | 0.0212 | 5.6463 | 0.1729 | 0.0776 | 0.4941 | 0.0353 | 0.0635 | 0.0565 | 0.9563 | 0.0000 | 0.0000 | 0.4164 | 24.8333 | 21.2267 | 0.1870 | 0.159845 | 9.612841 | 28.5 | <2.5 | 1.071600e+07 | 8.555328 | 0.897667 | % |
| 39 | Denmark | Europe | 0.0000 | 14.2498 | 35.4131 | 0.0000 | 1.4741 | 1.7484 | 1.1313 | 0.5257 | 9.2408 | 0.0000 | 8.8142 | 0.2819 | 0.2285 | 0.7161 | 0.0152 | 0.1752 | 0.0533 | 1.6874 | 0.0000 | 0.0000 | 1.1846 | 14.5850 | 8.4752 | 0.5257 | 0.038017 | 3.463218 | 21.3 | <2.5 | 5.829000e+06 | 3.307360 | 0.117842 | % |
| 40 | Djibouti | Sub-Saharan Africa | 0.0000 | 1.3966 | 11.1065 | 0.0000 | 4.3977 | 0.2494 | 0.2910 | 0.1247 | 5.1210 | 0.1413 | 3.8573 | 0.4572 | 0.1912 | 0.4323 | 0.5570 | 0.3159 | 0.0333 | 0.5653 | 0.0000 | 0.0000 | 0.4157 | 38.8977 | 31.4490 | 0.1247 | 0.006377 | 0.601316 | 12.2 | 18.9 | 9.880000e+05 | 0.592308 | 0.002632 | % |
| 41 | Dominica | Central America, Caribbean | 0.0000 | 3.8063 | 26.9250 | 0.0000 | 1.4913 | 0.3619 | 1.6536 | 1.1856 | 13.7339 | 0.1123 | 7.2320 | 0.2309 | 0.1373 | 4.8172 | 0.1373 | 0.4680 | 0.4867 | 1.7846 | 0.0000 | 0.0000 | 0.0312 | 23.0812 | 12.3237 | 1.1856 | 0.000000 | 0.168056 | 28.2 | 6.2 | 7.200000e+04 | 0.152778 | 0.015278 | % |
| 42 | Dominican Republic | Central America, Caribbean | 0.0000 | 2.2261 | 15.2779 | 0.0000 | 1.4528 | 1.1248 | 0.2484 | 3.6133 | 7.3718 | 0.0422 | 4.1194 | 0.1218 | 0.1875 | 2.9103 | 0.1921 | 0.0609 | 0.0797 | 0.2906 | 0.0000 | 0.0000 | 0.0703 | 34.7221 | 25.8881 | 3.6133 | 0.026676 | 2.115695 | 26.9 | 9.5 | 1.050000e+07 | 1.577705 | 0.511314 | % |
| 43 | Ecuador | South America | 0.0000 | 4.7198 | 20.9283 | 0.0000 | 3.6672 | 1.0246 | 0.2519 | 0.4367 | 8.7453 | 0.0280 | 6.0803 | 0.0840 | 0.1008 | 0.8566 | 0.0616 | 0.0392 | 0.0840 | 0.1848 | 0.0000 | 0.0000 | 0.0784 | 29.0745 | 23.5541 | 0.4367 | 0.085683 | 1.468306 | 19.3 | 7.9 | 1.751100e+07 | 1.198184 | 0.184438 | % |
| 44 | Egypt | Middle East, North Africa, Greater Arabia | 0.0000 | 3.4231 | 15.9979 | 0.0000 | 13.4988 | 0.8448 | 1.3200 | 0.7216 | 6.4678 | 0.0088 | 3.6343 | 0.6600 | 0.2992 | 4.4615 | 0.1584 | 0.2376 | 0.1936 | 0.0792 | 0.0704 | 0.0000 | 0.2992 | 34.0109 | 13.6132 | 0.7216 | 0.009527 | 0.167759 | 31.1 | 4.5 | 1.008030e+08 | 0.131002 | 0.027229 | % |
| 45 | El Salvador | Central America, Caribbean | 0.0000 | 6.3901 | 23.3032 | 0.0000 | 8.1958 | 1.6034 | 0.4514 | 1.4321 | 6.6547 | 0.1012 | 8.1491 | 0.4514 | 0.0545 | 5.0669 | 0.5837 | 0.0311 | 0.1401 | 0.3269 | 0.0000 | 0.0000 | 0.1167 | 26.6968 | 10.2506 | 1.4321 | 0.025814 | 0.867721 | 22.7 | 9 | 6.481000e+06 | 0.778136 | 0.063771 | % |
| 46 | Estonia | Europe | 0.0000 | 6.5339 | 33.2190 | 0.0000 | 2.8982 | 1.5830 | 0.2818 | 0.3805 | 10.4279 | 0.0188 | 14.2750 | 0.2865 | 0.1174 | 0.3664 | 0.0658 | 0.1926 | 0.0892 | 2.7855 | 0.0000 | 0.0000 | 1.2495 | 16.7833 | 8.4457 | 0.3805 | 0.034260 | 3.569647 | 23.8 | 2.9 | 1.331000e+06 | 2.828550 | 0.706837 | % |
| 47 | Eswatini | Sub-Saharan Africa | 0.0000 | 3.1415 | 20.8055 | 0.0000 | 12.0023 | 0.4718 | 0.3682 | 0.4718 | 11.1162 | 0.1151 | 5.4315 | 0.1956 | 0.2762 | 3.4062 | 0.2071 | 0.8170 | 0.3222 | 0.0575 | 0.0000 | 0.0000 | 0.6559 | 29.1945 | 10.9436 | 0.4718 | 0.054710 | 1.465670 | 13.5 | 20.6 | 1.104000e+06 | 1.038859 | 0.372101 | % |
| 48 | Ethiopia | Sub-Saharan Africa | 0.0000 | 1.4358 | 11.1691 | 0.0000 | 11.3929 | 0.2238 | 0.0559 | 0.4102 | 4.1768 | 0.0000 | 5.1091 | 0.1305 | 0.1678 | 2.6851 | 2.5545 | 2.6851 | 0.8018 | 0.0186 | 0.0000 | 0.0000 | 0.7459 | 38.8216 | 17.4156 | 0.4102 | 0.001867 | 0.123093 | 3.6 | 20.6 | 1.149160e+08 | 0.109237 | 0.011989 | % |
| 49 | Fiji | Australia, Oceania | 0.0000 | 7.6883 | 20.0472 | 0.0000 | 1.5114 | 0.5773 | 1.4694 | 0.0840 | 8.4230 | 0.0262 | 1.7948 | 0.1732 | 0.0945 | 8.9635 | 0.2991 | 0.1312 | 0.3569 | 0.4408 | 0.0000 | 0.0000 | 0.1469 | 29.9554 | 17.8168 | 0.0840 | 0.000223 | 0.006250 | 30.0 | 3.7 | 8.960000e+05 | 0.005915 | 0.000112 | % |
| 50 | Finland | Europe | 0.0000 | 6.3787 | 36.7250 | 0.0000 | 1.7872 | 0.8524 | 0.9384 | 0.2901 | 16.6649 | 0.1146 | 11.8155 | 0.2041 | 0.0788 | 0.6017 | 0.0179 | 0.0430 | 0.0537 | 0.7844 | 0.0000 | 0.0000 | 0.5157 | 13.2732 | 8.8607 | 0.2901 | 0.012443 | 0.854802 | 24.9 | <2.5 | 5.529000e+06 | 0.560680 | 0.281678 | % |
| 51 | France | Europe | 0.0000 | 9.1996 | 30.2594 | 0.0000 | 1.4334 | 0.9894 | 0.8752 | 0.3869 | 11.0864 | 0.0159 | 7.9533 | 0.1776 | 0.1554 | 0.6850 | 0.0254 | 0.0285 | 0.0412 | 0.6279 | 0.0000 | 0.0000 | 0.8530 | 19.7406 | 15.4658 | 0.3869 | 0.121558 | 5.199055 | 23.2 | <2.5 | 6.494000e+07 | 0.367877 | 4.709620 | % |
| 52 | French Polynesia | Australia, Oceania | 0.0000 | 4.6648 | 25.1596 | 0.0000 | 3.7271 | 0.8220 | 1.5842 | 0.1995 | 14.0782 | 0.2913 | 3.8827 | 0.1397 | 0.1277 | 4.7566 | 0.0399 | 0.0200 | 0.0758 | 1.2690 | 0.0000 | 0.0000 | 0.3192 | 24.8404 | 14.0024 | 0.1995 | NaN | NaN | NaN | 4.2 | 2.800000e+05 | NaN | NaN | % |
| 53 | Gabon | Sub-Saharan Africa | 0.0000 | 0.7379 | 19.2656 | 0.0000 | 4.1074 | 0.1956 | 2.0359 | 0.6401 | 13.4068 | 0.1422 | 2.2937 | 0.2045 | 0.5957 | 8.9438 | 0.0089 | 0.0000 | 0.5779 | 0.7112 | 0.0000 | 0.0000 | 0.0178 | 30.7344 | 15.3805 | 0.6401 | 0.003182 | 0.513537 | 13.4 | 10.5 | 2.231000e+06 | 0.483953 | 0.026401 | % |
| 54 | Gambia | Sub-Saharan Africa | 0.0000 | 0.2548 | 6.0418 | 0.0000 | 4.9416 | 0.2113 | 1.3488 | 0.0373 | 1.3488 | 0.0622 | 2.8468 | 0.0746 | 0.0311 | 12.4751 | 0.0311 | 0.0000 | 0.0124 | 0.0995 | 0.0000 | 0.0000 | 0.2362 | 43.9582 | 25.9883 | 0.0373 | 0.005544 | 0.175300 | 8.7 | 10.2 | 2.417000e+06 | 0.160778 | 0.008978 | % |
| 55 | Georgia | Europe | 0.0000 | 7.2612 | 25.2749 | 0.0000 | 4.5695 | 1.1781 | 0.4284 | 0.2071 | 7.2326 | 0.1071 | 9.0818 | 0.1999 | 0.1000 | 0.6854 | 0.0000 | 0.0714 | 0.0928 | 2.7774 | 0.0000 | 0.0000 | 1.1566 | 24.7180 | 14.8579 | 0.2071 | 0.087995 | 7.042261 | 23.3 | 7.9 | 3.715000e+06 | 6.805249 | 0.149017 | % |
| 56 | Germany | Europe | 0.0000 | 11.0084 | 28.1419 | 0.0000 | 1.1778 | 1.0462 | 0.7019 | 0.2632 | 8.9127 | 0.0000 | 6.4289 | 0.2160 | 0.0472 | 0.8909 | 0.0101 | 0.0844 | 0.0607 | 0.6614 | 0.0000 | 0.0000 | 1.6739 | 21.8581 | 16.8163 | 0.2632 | 0.073891 | 2.743101 | 25.7 | <2.5 | 8.330000e+07 | 2.451366 | 0.217844 | % |
| 57 | Ghana | Sub-Saharan Africa | 0.0000 | 0.8060 | 7.6875 | 0.0000 | 5.6789 | 0.3472 | 2.7774 | 1.2151 | 3.1618 | 0.0496 | 0.4216 | 0.2480 | 0.1736 | 10.9113 | 0.3968 | 1.2771 | 2.0087 | 0.0000 | 0.0000 | 0.0000 | 0.0868 | 42.3063 | 20.4464 | 1.2151 | 0.001445 | 0.225424 | 9.7 | 5.5 | 3.107300e+07 | 0.204364 | 0.019615 | % |
| 58 | Greece | Europe | 0.0000 | 1.6989 | 17.9063 | 0.0000 | 1.3280 | 0.7749 | 0.3245 | 0.2484 | 6.6267 | 0.0298 | 8.3355 | 0.2848 | 0.1424 | 1.8413 | 0.0795 | 0.0497 | 0.0431 | 0.7749 | 0.0000 | 0.0000 | 1.8810 | 32.0970 | 25.5332 | 0.2484 | 0.055617 | 1.525355 | 27.4 | <2.5 | 1.070000e+07 | 0.876299 | 0.593439 | % |
| 59 | Grenada | Central America, Caribbean | 0.0000 | 2.4889 | 23.0842 | 0.0000 | 1.4883 | 1.4440 | 1.2856 | 2.8436 | 12.9576 | 0.1267 | 4.8195 | 0.1077 | 0.0823 | 3.3186 | 0.1900 | 0.8803 | 0.0697 | 0.8740 | 0.0000 | 0.0000 | 0.1393 | 26.9158 | 16.8841 | 2.8436 | 0.000885 | 0.130973 | 20.2 | NaN | 1.130000e+05 | 0.129204 | 0.000885 | % |
| 60 | Guatemala | Central America, Caribbean | 0.0000 | 1.7622 | 15.4397 | 0.0000 | 9.3956 | 2.6186 | 0.1482 | 1.2516 | 7.0735 | 0.0247 | 3.7385 | 0.2553 | 0.0988 | 3.7879 | 0.5764 | 0.1235 | 0.0247 | 0.3788 | 0.0000 | 0.0000 | 0.9305 | 34.5603 | 17.8113 | 1.2516 | 0.032403 | 0.901899 | 18.8 | 15.2 | 1.806600e+07 | 0.824294 | 0.045201 | % |
| 61 | Guinea | Sub-Saharan Africa | 0.0000 | 0.7557 | 6.0747 | 0.0000 | 4.7086 | 0.3125 | 0.5014 | 0.3415 | 2.8993 | 0.0363 | 1.4896 | 0.7848 | 0.1163 | 6.6633 | 0.1744 | 0.0000 | 0.3343 | 0.2616 | 0.0000 | 0.0000 | 0.0073 | 43.9253 | 30.6133 | 0.3415 | 0.000669 | 0.116760 | 6.6 | 16.5 | 1.256000e+07 | 0.114013 | 0.002078 | % |
| 62 | Guinea-Bissau | Sub-Saharan Africa | 0.0000 | 0.6274 | 10.8323 | 0.0000 | 2.8828 | 0.1509 | 0.0715 | 0.2938 | 8.0527 | 0.0556 | 1.8027 | 0.0794 | 0.1271 | 1.7154 | 0.0794 | 0.0000 | 0.1985 | 0.2224 | 0.0000 | 0.0000 | 3.3116 | 39.1677 | 30.3288 | 0.2938 | 0.002387 | 0.143851 | 8.2 | 28 | 1.927000e+06 | 0.125947 | 0.015516 | % |
| 63 | Guyana | South America | 0.0000 | 1.0020 | 22.7418 | 0.0000 | 2.9072 | 0.3340 | 1.1690 | 1.5030 | 12.5550 | 0.0911 | 7.6287 | 1.1538 | 0.0531 | 9.3518 | 0.3871 | 0.8653 | 0.1290 | 0.9261 | 0.0000 | 0.0000 | 0.8805 | 27.2582 | 9.0633 | 1.5030 | 0.022872 | 1.008767 | 19.2 | 8.1 | 7.870000e+05 | 0.884625 | 0.101271 | % |
| 64 | Haiti | Central America, Caribbean | 0.0000 | 1.7481 | 12.1462 | 0.0000 | 5.7517 | 0.1353 | 0.3722 | 1.6804 | 7.8944 | 0.0564 | 1.8608 | 0.1241 | 0.1353 | 3.3157 | 0.8458 | 0.0000 | 0.5526 | 0.3609 | 0.0000 | 0.0226 | 0.0000 | 37.8482 | 25.1494 | 1.6804 | 0.002149 | 0.103113 | 20.5 | 49.3 | 1.140300e+07 | 0.080295 | 0.020670 | % |
| 65 | Honduras | Central America, Caribbean | 0.0000 | 2.6611 | 16.7113 | 0.0000 | 8.3159 | 0.7448 | 0.1302 | 0.3760 | 7.8603 | 0.0651 | 5.2281 | 0.1157 | 0.0868 | 0.5857 | 0.4194 | 0.0289 | 0.0217 | 0.3833 | 0.0000 | 0.0000 | 0.1012 | 33.2924 | 22.8722 | 0.3760 | 0.037612 | 1.560270 | 19.4 | 12.9 | 9.864000e+06 | 0.626369 | 0.896290 | % |
| 66 | Hungary | Europe | 0.0000 | 12.3082 | 28.9972 | 0.0000 | 1.2735 | 1.2018 | 0.1954 | 0.1270 | 10.0576 | 0.0000 | 5.2308 | 0.2019 | 0.0033 | 0.3583 | 0.0391 | 0.1107 | 0.0391 | 0.7393 | 0.0000 | 0.0000 | 0.0456 | 21.0012 | 18.0699 | 0.1270 | 0.133367 | 3.840739 | 28.6 | <2.5 | 9.767000e+06 | 2.845797 | 0.861575 | % |
| 67 | Iceland | Europe | 0.0000 | 7.1086 | 34.4402 | 0.0000 | 4.3005 | 0.8991 | 1.6872 | 0.4975 | 13.6029 | 0.1199 | 11.0046 | 0.1678 | 0.1349 | 0.8931 | 0.0120 | 0.1079 | 0.0300 | 1.5254 | 0.0000 | 0.0000 | 0.5005 | 15.5628 | 7.4053 | 0.4975 | 0.007880 | 1.636141 | 23.1 | <2.5 | 3.680000e+05 | 1.619293 | 0.008967 | % |
| 68 | India | Asia | 0.0000 | 7.4859 | 16.0538 | 0.0000 | 5.1196 | 0.7653 | 0.3783 | 0.4046 | 0.9061 | 0.0000 | 6.4919 | 0.3958 | 0.0264 | 3.7386 | 1.1084 | 0.8005 | 0.0792 | 0.0176 | 0.0000 | 0.0000 | 0.5014 | 33.9462 | 21.7804 | 0.4046 | 0.011070 | 0.773256 | 3.8 | 14.5 | 1.400100e+09 | 0.751561 | 0.010625 | % |
| 69 | Indonesia | Asia | 0.0000 | 0.7049 | 9.1722 | 0.0000 | 6.6871 | 1.4549 | 2.5122 | 0.7139 | 3.6237 | 0.0000 | 0.7049 | 0.2711 | 0.1627 | 7.3649 | 0.0452 | 0.3886 | 0.3072 | 0.4970 | 0.0000 | 0.0633 | 0.3976 | 40.8368 | 24.0918 | 0.7139 | 0.011553 | 0.422100 | 6.9 | 8.3 | 2.717390e+08 | 0.345620 | 0.064927 | % |
| 70 | Iran (Islamic Republic of) | Middle East, North Africa, Greater Arabia | 0.0000 | 6.0372 | 16.9273 | 0.0000 | 5.5867 | 1.3259 | 0.6114 | 0.6243 | 6.1724 | 0.0000 | 2.6389 | 0.5278 | 0.1416 | 0.4055 | 0.2961 | 0.2124 | 0.1738 | 0.0451 | 0.0000 | 0.0000 | 4.9044 | 33.0759 | 20.2935 | 0.6243 | 0.069414 | 1.734248 | 25.5 | 4.9 | 8.415000e+07 | 1.482322 | 0.182512 | % |
| 71 | Iraq | Middle East, North Africa, Greater Arabia | 0.0000 | 3.8118 | 11.1327 | 0.0000 | 6.2761 | 1.9023 | 0.1441 | 0.2306 | 3.5164 | 0.0432 | 1.7366 | 0.1513 | 0.0288 | 0.9584 | 0.1369 | 0.0576 | 0.0288 | 0.7278 | 0.0000 | 0.0000 | 0.6341 | 38.8673 | 29.6152 | 0.2306 | 0.033004 | 1.579398 | 27.4 | 29 | 3.972500e+07 | 1.508287 | 0.038107 | % |
| 72 | Ireland | Europe | 0.0000 | 8.6472 | 27.1689 | 0.0000 | 2.7091 | 0.9231 | 0.9372 | 0.2829 | 10.0477 | 0.0283 | 6.5464 | 0.2405 | 0.0707 | 0.8630 | 0.0389 | 0.0707 | 0.0531 | 1.5137 | 0.0000 | 0.0000 | 0.8417 | 22.8329 | 16.1839 | 0.2829 | 0.073436 | 4.048531 | 26.9 | <2.5 | 5.003000e+06 | 0.467000 | 3.508095 | % |
| 73 | Israel | Middle East, North Africa, Greater Arabia | 0.0000 | 1.2809 | 15.8138 | 0.0000 | 1.6083 | 0.8700 | 0.5746 | 1.6051 | 8.1541 | 0.0257 | 4.8443 | 0.2857 | 0.0867 | 3.0787 | 0.1605 | 0.0610 | 0.0353 | 0.8315 | 0.0000 | 0.0000 | 1.3194 | 34.1862 | 25.1782 | 1.6051 | 0.055024 | 7.439052 | 26.7 | <2.5 | 9.216000e+06 | 6.609635 | 0.774392 | % |
| 74 | Italy | Europe | 0.0000 | 5.3931 | 21.8727 | 0.0000 | 1.3598 | 1.0529 | 0.7327 | 0.2541 | 8.7134 | 0.0198 | 5.9146 | 0.2277 | 0.0627 | 0.4753 | 0.0858 | 0.0099 | 0.0297 | 0.1056 | 0.0000 | 0.0000 | 1.4324 | 28.1306 | 24.1270 | 0.2541 | 0.150927 | 4.353685 | 22.9 | <2.5 | 6.029600e+07 | 3.494529 | 0.708229 | % |
| 75 | Jamaica | Central America, Caribbean | 0.0000 | 6.1721 | 23.0867 | 0.0064 | 2.2375 | 0.3242 | 1.2204 | 0.4322 | 9.5156 | 0.1081 | 5.7081 | 0.2924 | 0.1462 | 3.4389 | 0.0890 | 1.4302 | 0.2161 | 0.3496 | 0.0000 | 0.0000 | 0.1398 | 26.9133 | 18.1732 | 0.4322 | 0.012709 | 0.599537 | 24.4 | 8 | 2.809000e+06 | 0.435208 | 0.151620 | % |
| 76 | Japan | Asia | 0.0000 | 1.9098 | 19.4516 | 0.0057 | 1.8642 | 3.1241 | 3.2666 | 0.1881 | 7.8331 | 0.0285 | 3.2096 | 0.3478 | 0.1026 | 2.9816 | 0.0342 | 0.1425 | 0.0513 | 0.8266 | 0.0057 | 0.0000 | 0.6499 | 30.5456 | 23.4308 | 0.1881 | 0.005059 | 0.320821 | 4.4 | <2.5 | 1.259670e+08 | 0.284770 | 0.030991 | % |
| 77 | Jordan | Middle East, North Africa, Greater Arabia | 0.0000 | 1.8696 | 12.2622 | 0.0000 | 3.7391 | 0.5224 | 0.3189 | 0.1980 | 5.8122 | 0.0385 | 3.6512 | 0.2694 | 0.0880 | 2.5074 | 0.2584 | 0.1155 | 0.0550 | 0.5994 | 0.0000 | 0.0000 | 0.9018 | 37.7378 | 29.0553 | 0.1980 | 0.040912 | 3.126276 | 33.4 | 12.2 | 1.067900e+07 | 2.991760 | 0.093604 | % |
| 78 | Kazakhstan | Asia | 0.0000 | 3.0343 | 23.4158 | 0.0000 | 1.7405 | 0.8975 | 0.1321 | 0.1787 | 9.6740 | 0.0389 | 9.5031 | 0.3497 | 0.1748 | 0.6488 | 0.0078 | 0.0272 | 0.1088 | 0.9946 | 0.0000 | 0.0000 | 0.7654 | 26.5822 | 21.7258 | 0.1787 | 0.016651 | 1.299402 | 21.3 | <2.5 | 1.873200e+07 | 1.137764 | 0.144987 | % |
| 79 | Kenya | Sub-Saharan Africa | 0.0000 | 1.8742 | 17.7332 | 0.0000 | 9.9701 | 0.3438 | 0.2773 | 1.0757 | 6.5654 | 0.0000 | 8.4951 | 0.2107 | 0.1885 | 1.6746 | 0.8429 | 0.0555 | 0.2551 | 0.0665 | 0.0000 | 0.0000 | 0.5989 | 32.2724 | 17.5003 | 1.0757 | 0.003318 | 0.189975 | 6.0 | 29.4 | 5.352800e+07 | 0.157491 | 0.029166 | % |
| 80 | Kiribati | Australia, Oceania | 0.0000 | 0.7467 | 10.5699 | 0.0000 | 1.9560 | 0.2650 | 3.0833 | 0.3517 | 6.1955 | 0.0434 | 0.2553 | 0.1397 | 0.0193 | 28.5639 | 0.0000 | 0.0145 | 0.2409 | 0.0193 | 0.0000 | 0.0000 | 0.8094 | 39.4325 | 7.2939 | 0.3517 | NaN | NaN | 45.6 | 2.7 | 1.250000e+05 | NaN | NaN | % |
| 81 | Korea, North | Asia | 0.0000 | 0.0262 | 11.4709 | 0.0000 | 7.2234 | 1.6911 | 0.5375 | 0.6424 | 8.7179 | 0.0131 | 0.4195 | 1.0357 | 0.0918 | 0.9832 | 0.6555 | 0.0000 | 0.3146 | 0.0393 | 0.0000 | 0.0000 | 0.0262 | 38.5160 | 27.5957 | 0.6424 | NaN | NaN | 7.1 | 47.8 | 2.577900e+07 | NaN | NaN | % |
| 82 | Korea, South | Asia | 0.0976 | 4.2523 | 20.0483 | 0.0511 | 1.8403 | 1.3524 | 1.9147 | 0.1766 | 11.1860 | 0.0000 | 1.1386 | 0.6924 | 0.1534 | 1.8914 | 0.0186 | 0.0372 | 0.0325 | 0.2370 | 0.0000 | 0.0000 | 1.2036 | 29.9563 | 23.7197 | 0.1766 | 0.002841 | 0.156227 | 4.9 | <2.5 | 5.178100e+07 | 0.136855 | 0.016531 | % |
| 83 | Kuwait | Middle East, North Africa, Greater Arabia | 0.0000 | 2.1588 | 19.8923 | 0.0000 | 3.0847 | 2.3242 | 0.3732 | 0.3496 | 9.5706 | 0.1086 | 5.2766 | 0.5055 | 0.1890 | 1.3416 | 0.1984 | 0.5385 | 0.0472 | 1.5353 | 0.0000 | 0.0000 | 1.1810 | 30.1101 | 21.2150 | 0.3496 | 0.020550 | 3.624728 | 37.0 | 2.8 | 4.691000e+06 | 3.434087 | 0.170092 | % |
| 84 | Kyrgyzstan | Asia | 0.0000 | 3.4472 | 29.1225 | 0.0000 | 4.0964 | 0.8655 | 0.0895 | 0.2388 | 10.1776 | 0.0448 | 14.2068 | 0.7163 | 0.3358 | 0.0895 | 0.1940 | 0.0970 | 0.1865 | 2.1564 | 0.0000 | 0.0000 | 1.5893 | 20.8849 | 11.4610 | 0.2388 | 0.021580 | 1.288929 | 15.4 | 7.1 | 6.594000e+06 | 1.236609 | 0.030740 | % |
| 85 | Lao People's Democratic Republic | Asia | 0.0000 | 3.9594 | 21.6306 | 0.0000 | 9.0989 | 0.4974 | 1.6871 | 0.8777 | 15.0283 | 0.0878 | 0.2243 | 1.1118 | 0.2243 | 5.6076 | 0.1365 | 1.0435 | 0.3121 | 0.0780 | 0.1853 | 0.0000 | 0.0683 | 28.3792 | 9.7620 | 0.8777 | 0.000000 | 0.000621 | 4.5 | 16.5 | 7.242000e+06 | 0.000566 | 0.000055 | % |
| 86 | Latvia | Europe | 0.0000 | 10.4430 | 30.4390 | 0.0000 | 1.5314 | 1.3430 | 0.8819 | 0.2526 | 9.7976 | 0.0361 | 7.8613 | 0.2606 | 0.1122 | 0.6334 | 0.0000 | 0.0321 | 0.1323 | 2.0044 | 0.0000 | 0.0000 | 0.8819 | 19.5630 | 13.7943 | 0.2526 | 0.069769 | 3.749737 | 25.7 | <2.5 | 1.902000e+06 | 3.122976 | 0.556993 | % |
| 87 | Lebanon | Middle East, North Africa, Greater Arabia | 0.0000 | 2.1637 | 12.4024 | 0.0000 | 2.2530 | 0.3290 | 0.3681 | 0.5800 | 5.1361 | 0.0390 | 4.3553 | 0.3736 | 0.0502 | 2.8385 | 0.2175 | 0.0836 | 0.1171 | 0.7250 | 0.0000 | 0.0000 | 2.9110 | 37.5976 | 27.4593 | 0.5800 | 0.052190 | 4.656938 | 31.3 | 11 | 6.825000e+06 | 2.947062 | 1.657685 | % |
| 88 | Lesotho | Sub-Saharan Africa | 0.0000 | 0.5290 | 12.9600 | 0.0000 | 18.3763 | 0.2415 | 0.2530 | 0.1495 | 9.1881 | 0.0460 | 2.4149 | 0.1725 | 0.3450 | 0.7820 | 0.4025 | 0.3910 | 0.1840 | 0.1495 | 0.0000 | 0.0000 | 0.0345 | 37.0285 | 16.3523 | 0.1495 | 0.008543 | 0.437908 | 13.5 | 13.1 | 2.142000e+06 | 0.126331 | 0.303035 | % |
| 89 | Liberia | Sub-Saharan Africa | 0.0000 | 0.4154 | 7.4228 | 0.0000 | 3.3592 | 0.2528 | 0.3702 | 0.1445 | 6.0051 | 0.0361 | 0.2438 | 0.1896 | 0.1355 | 1.5803 | 0.0361 | 0.0000 | 0.3070 | 0.1174 | 0.0000 | 0.0000 | 0.3883 | 42.5772 | 36.4186 | 0.1445 | 0.001661 | 0.038671 | 8.6 | 37.2 | 5.058000e+06 | 0.034994 | 0.002017 | % |
| 90 | Lithuania | Europe | 0.0000 | 9.3880 | 32.3048 | 0.0000 | 1.7819 | 1.9226 | 1.2380 | 0.3283 | 14.2134 | 0.0094 | 5.4302 | 0.2579 | 0.1125 | 0.8441 | 0.2345 | 0.1970 | 0.0610 | 0.3423 | 0.0000 | 0.0000 | 0.9238 | 17.6975 | 12.7128 | 0.3283 | 0.104760 | 6.667072 | 28.4 | <2.5 | 2.794000e+06 | 4.939621 | 1.622691 | % |
| 91 | Luxembourg | Europe | 0.0000 | 6.4786 | 32.4517 | 0.0000 | 1.8437 | 1.6645 | 0.6987 | 0.3256 | 16.3118 | 0.0658 | 7.2286 | 0.2634 | 0.0658 | 0.6402 | 0.0146 | 0.1646 | 0.0329 | 3.3838 | 0.0000 | 0.0000 | 0.1280 | 17.5519 | 10.6855 | 0.3256 | 0.093354 | 8.150633 | 24.2 | <2.5 | 6.320000e+05 | 7.661551 | 0.395728 | % |
| 92 | Madagascar | Sub-Saharan Africa | 0.0000 | 1.7454 | 19.0932 | 0.0000 | 10.0681 | 0.3406 | 0.7450 | 1.2984 | 11.5581 | 0.0213 | 4.4274 | 0.1916 | 0.2980 | 1.5113 | 0.3193 | 0.2554 | 0.9153 | 0.1916 | 0.0213 | 0.0000 | 0.2129 | 30.9068 | 15.8791 | 1.2984 | 0.001015 | 0.068849 | 4.5 | 44.4 | 2.769100e+07 | 0.065779 | 0.002055 | % |
| 93 | Malawi | Sub-Saharan Africa | 0.0000 | 2.6263 | 18.8711 | 0.0000 | 13.0891 | 0.2753 | 0.6672 | 1.3767 | 14.6458 | 0.0106 | 0.4024 | 0.2224 | 0.2542 | 5.6232 | 0.7519 | 0.0529 | 1.3555 | 0.0318 | 0.0000 | 0.0000 | 0.2012 | 31.1236 | 8.4189 | 1.3767 | 0.004375 | 0.140486 | 4.7 | 17.5 | 1.913000e+07 | 0.059320 | 0.076790 | % |
| 94 | Malaysia | Asia | 0.0000 | 1.4813 | 17.1723 | 0.0000 | 2.2933 | 2.7596 | 1.8599 | 0.1756 | 9.8041 | 0.0713 | 1.2289 | 0.2359 | 0.0329 | 1.7502 | 0.0658 | 0.6584 | 0.0329 | 0.0000 | 0.0000 | 0.0000 | 0.3731 | 32.8304 | 27.1740 | 0.1756 | 0.002614 | 0.728230 | 15.3 | 2.5 | 3.278100e+07 | 0.570361 | 0.155255 | % |
| 95 | Maldives | Asia | 0.0000 | 4.8409 | 29.7398 | 0.0000 | 4.5092 | 3.2756 | 8.4068 | 0.4665 | 5.8360 | 0.4561 | 7.3909 | 0.5183 | 0.0000 | 1.3683 | 0.0518 | 1.1713 | 0.0622 | 1.7207 | 0.0000 | 0.0000 | 4.9756 | 20.2550 | 4.9549 | 0.4665 | 0.009982 | 3.078743 | 7.9 | 10.3 | 5.410000e+05 | 2.690573 | 0.378189 | % |
| 96 | Mali | Sub-Saharan Africa | 0.0000 | 1.2195 | 17.4631 | 0.0000 | 12.0873 | 0.1327 | 0.4065 | 0.2987 | 5.6745 | 0.0249 | 9.7146 | 0.3816 | 0.3152 | 3.3765 | 0.5475 | 0.1244 | 0.1327 | 0.0332 | 0.0000 | 0.0000 | 1.3357 | 32.5369 | 14.1945 | 0.2987 | 0.001669 | 0.040294 | 7.1 | 6.3 | 2.025100e+07 | 0.029895 | 0.008730 | % |
| 97 | Malta | Europe | 0.0000 | 6.6557 | 29.3856 | 0.0000 | 4.8786 | 1.3878 | 1.3074 | 0.2666 | 10.6541 | 0.0169 | 9.3298 | 0.5162 | 0.0508 | 1.4978 | 0.0804 | 0.0804 | 0.0296 | 2.6783 | 0.0000 | 0.0000 | 1.1720 | 20.6144 | 9.3975 | 0.2666 | 0.053448 | 3.558621 | 31.0 | <2.5 | 5.220000e+05 | 3.045211 | 0.459962 | % |
| 98 | Mauritania | Sub-Saharan Africa | 0.0000 | 1.7485 | 17.4021 | 0.0000 | 4.3092 | 0.4337 | 0.5369 | 0.0895 | 5.7479 | 0.0688 | 8.6460 | 0.1514 | 0.2822 | 0.5025 | 0.3373 | 0.0000 | 0.0207 | 0.1652 | 0.0000 | 0.0000 | 0.0000 | 32.6014 | 26.9567 | 0.0895 | 0.009140 | 0.361118 | 11.3 | 10.4 | 4.650000e+06 | 0.343763 | 0.008215 | % |
| 99 | Mauritius | Sub-Saharan Africa | 0.0000 | 1.4559 | 12.8934 | 0.0000 | 3.2471 | 0.7355 | 1.0457 | 0.1501 | 6.7594 | 0.1001 | 2.8418 | 0.1751 | 0.0550 | 1.5660 | 0.2502 | 0.3452 | 0.0250 | 0.9856 | 0.0000 | 0.0000 | 0.2702 | 37.1041 | 29.9945 | 0.1501 | 0.000791 | 0.046166 | 11.5 | 6.5 | 1.265000e+06 | 0.042688 | 0.002688 | % |
| 100 | Mexico | North America | 0.0000 | 3.2525 | 23.7741 | 0.0000 | 6.4604 | 2.2807 | 0.4661 | 0.5305 | 13.2133 | 0.0050 | 4.3433 | 0.2429 | 0.2182 | 1.1850 | 0.2380 | 0.2529 | 0.0248 | 0.2033 | 0.0000 | 0.0000 | 0.7437 | 26.2234 | 16.3419 | 0.5305 | 0.129731 | 1.507199 | 28.4 | 3.6 | 1.277920e+08 | 1.159805 | 0.217663 | % |
| 101 | Mongolia | Asia | 0.0000 | 5.5153 | 36.9018 | 0.0000 | 2.7445 | 0.5930 | 0.0315 | 0.0420 | 21.0223 | 0.0525 | 9.0628 | 0.1417 | 0.6717 | 0.1259 | 0.0105 | 0.0052 | 0.0420 | 1.6373 | 0.0000 | 0.0000 | 0.0787 | 13.0982 | 8.2231 | 0.0420 | 0.000060 | 0.060190 | 19.6 | 13.4 | 3.361000e+06 | 0.043112 | 0.017019 | % |
| 102 | Montenegro | Europe | 0.0000 | 3.8887 | 32.7855 | 0.0000 | 3.7312 | 1.1566 | 0.3473 | 0.3688 | 14.7778 | 0.1003 | 12.5363 | 0.2578 | 0.0752 | 0.5837 | 0.0788 | 0.0430 | 0.0251 | 2.5531 | 0.0000 | 0.0000 | 0.8415 | 17.2163 | 8.6332 | 0.3688 | 0.134405 | 10.408199 | 24.9 | <2.5 | 6.220000e+05 | 9.039871 | 1.233923 | % |
| 103 | Morocco | Middle East, North Africa, Greater Arabia | 0.0000 | 3.5807 | 15.4227 | 0.0000 | 7.1539 | 1.1517 | 1.2329 | 0.7014 | 6.9989 | 0.0074 | 2.2296 | 0.2953 | 0.2289 | 0.7309 | 0.1477 | 0.3987 | 0.0960 | 0.1993 | 0.0000 | 0.0000 | 1.9048 | 34.5736 | 22.9457 | 0.7014 | 0.023312 | 1.321111 | 25.6 | 3.4 | 3.595200e+07 | 1.262575 | 0.035225 | % |
| 104 | Mozambique | Sub-Saharan Africa | 0.0000 | 1.1197 | 11.5910 | 0.0000 | 8.8101 | 0.5537 | 0.8490 | 0.1846 | 6.8783 | 0.0369 | 2.0795 | 0.1600 | 0.1107 | 1.1936 | 0.7014 | 0.0246 | 0.8490 | 0.0984 | 0.0000 | 0.0000 | 0.8244 | 38.4152 | 25.5199 | 0.1846 | 0.001447 | 0.141539 | 6.0 | 27.9 | 3.116600e+07 | 0.085959 | 0.054133 | % |
| 105 | Myanmar | Asia | 0.0000 | 3.0066 | 26.0470 | 0.0000 | 3.8192 | 0.9251 | 2.5441 | 0.2750 | 18.1335 | 0.0375 | 1.2814 | 0.2938 | 0.1563 | 5.1194 | 0.6938 | 0.5313 | 0.0625 | 0.0250 | 0.0000 | 0.0813 | 0.2688 | 23.9530 | 12.7453 | 0.2750 | NaN | NaN | 5.7 | 10.6 | 5.470400e+07 | NaN | NaN | % |
| 106 | Namibia | Sub-Saharan Africa | 0.0000 | 3.3171 | 16.7373 | 0.0000 | 6.8020 | 0.2718 | 0.6075 | 0.2798 | 7.7772 | 0.0959 | 4.5480 | 0.1359 | 0.2078 | 0.8792 | 0.4316 | 0.4236 | 0.5915 | 0.5995 | 0.0000 | 0.0000 | 0.1199 | 33.2667 | 22.9078 | 0.2798 | 0.014601 | 1.371271 | 15.0 | 27.3 | 2.541000e+06 | 1.312830 | 0.043841 | % |
| 107 | Nepal | Asia | 0.0000 | 3.3076 | 12.1853 | 0.0000 | 7.1664 | 0.4361 | 0.1563 | 0.5513 | 2.7069 | 0.0082 | 5.4139 | 0.6006 | 0.1563 | 0.4525 | 0.5513 | 1.1437 | 0.1975 | 0.2468 | 0.1892 | 0.0000 | 0.5019 | 37.8147 | 26.2136 | 0.5513 | 0.006784 | 0.906141 | 3.8 | 8.7 | 2.999600e+07 | 0.892826 | 0.006531 | % |
| 108 | Netherlands | Europe | 0.0000 | 6.6484 | 30.1494 | 0.0000 | 1.2702 | 1.4787 | 0.7451 | 0.3475 | 10.8567 | 0.0000 | 10.3934 | 0.2355 | 0.0270 | 0.3591 | 0.0309 | 0.1235 | 0.0849 | 0.0541 | 0.0000 | 0.0000 | 1.4980 | 19.8525 | 15.8449 | 0.3475 | 0.082830 | 5.815292 | 23.1 | <2.5 | 1.746700e+07 | 0.076063 | 5.656398 | % |
| 109 | New Caledonia | Australia, Oceania | 0.0000 | 3.6599 | 22.2697 | 0.0000 | 5.0979 | 1.0439 | 0.8385 | 0.2222 | 11.6086 | 0.2851 | 5.0476 | 0.1887 | 0.0755 | 3.3036 | 0.0293 | 0.0629 | 0.0335 | 1.3961 | 0.0000 | 0.0000 | 0.2557 | 27.7282 | 16.8532 | 0.2222 | NaN | NaN | NaN | 7.1 | 2.950000e+05 | NaN | NaN | % |
| 110 | New Zealand | Australia, Oceania | 0.0000 | 13.9753 | 34.1264 | 0.0000 | 1.3271 | 1.2111 | 0.6485 | 0.3049 | 13.9409 | 0.0000 | 4.2948 | 0.2835 | 0.0601 | 2.0228 | 0.0773 | 0.0859 | 0.0687 | 0.0945 | 0.0000 | 0.0000 | 1.3357 | 15.8736 | 10.2689 | 0.3049 | 0.000501 | 0.046521 | 32.0 | <2.5 | 4.987000e+06 | 0.044696 | 0.001323 | % |
| 111 | Nicaragua | Central America, Caribbean | 0.0000 | 2.3309 | 17.9935 | 0.0000 | 9.2369 | 1.0080 | 0.4174 | 0.1339 | 7.6069 | 0.1102 | 6.5123 | 0.1811 | 0.1102 | 1.9214 | 0.4646 | 0.0079 | 0.1024 | 0.4252 | 0.0000 | 0.0000 | 0.0315 | 32.0104 | 19.3952 | 0.1339 | 0.002577 | 0.095497 | 21.8 | 17 | 6.596000e+06 | 0.064054 | 0.028866 | % |
| 112 | Niger | Sub-Saharan Africa | 0.0000 | 2.6573 | 10.9769 | 0.0000 | 12.4360 | 0.0580 | 0.1353 | 0.2416 | 3.6332 | 0.0097 | 4.3193 | 0.4445 | 0.1836 | 13.4216 | 1.4398 | 0.3479 | 0.0483 | 0.0290 | 0.0000 | 0.0000 | 0.0000 | 39.0279 | 10.5904 | 0.2416 | 0.000682 | 0.019009 | 4.7 | 16.5 | 2.418900e+07 | 0.016330 | 0.001997 | % |
| 113 | Nigeria | Sub-Saharan Africa | 0.0000 | 0.8078 | 5.0182 | 0.0000 | 7.1082 | 0.5755 | 0.5957 | 0.3433 | 2.4838 | 0.0101 | 0.4645 | 0.5452 | 0.0909 | 4.3922 | 0.4241 | 0.4746 | 1.2621 | 0.0404 | 0.0000 | 0.0000 | 0.2322 | 44.9818 | 30.1494 | 0.3433 | 0.000799 | 0.067547 | 7.8 | 13.4 | 2.061400e+08 | 0.054602 | 0.012146 | % |
| 114 | North Macedonia | Europe | 0.0000 | 7.1263 | 19.6420 | 0.0000 | 1.9013 | 0.7305 | 0.2371 | 0.4112 | 6.5409 | 0.0435 | 4.8476 | 0.7450 | 0.1500 | 2.0174 | 0.1355 | 0.4886 | 0.0774 | 1.7078 | 0.0000 | 0.0000 | 1.1708 | 30.3628 | 21.6642 | 0.4112 | 0.140192 | 4.548029 | 23.9 | 3.2 | 2.080000e+06 | 4.025721 | 0.382115 | % |
| 115 | Norway | Europe | 0.0000 | 6.4445 | 27.2211 | 0.0000 | 1.9601 | 1.0645 | 1.5545 | 0.4055 | 10.6992 | 0.3244 | 7.4043 | 0.1656 | 0.0541 | 1.7032 | 0.0912 | 0.0473 | 0.0473 | 1.6796 | 0.0000 | 0.0000 | 0.8888 | 22.7806 | 15.4642 | 0.4055 | 0.010804 | 1.200167 | 25.0 | <2.5 | 5.387000e+06 | 0.334101 | 0.855263 | % |
| 116 | Oman | Middle East, North Africa, Greater Arabia | 0.0000 | 2.3712 | 23.6146 | 0.0000 | 3.7744 | 1.4422 | 0.9290 | 0.7926 | 9.0171 | 0.0325 | 9.6407 | 0.5782 | 0.2144 | 1.1174 | 0.1689 | 0.7276 | 0.0390 | 1.0979 | 0.0000 | 0.0000 | 0.6107 | 26.3821 | 17.4495 | 0.7926 | 0.032506 | 2.865288 | 22.9 | 6.8 | 4.713000e+06 | 2.700318 | 0.132463 | % |
| 117 | Pakistan | Middle East, North Africa, Greater Arabia | 0.0000 | 8.9701 | 24.8245 | 0.0000 | 4.2124 | 0.6203 | 0.0818 | 0.1227 | 3.4967 | 0.0068 | 11.5125 | 0.0750 | 0.1431 | 1.0906 | 0.2726 | 0.2249 | 0.0341 | 0.0204 | 0.0613 | 0.0000 | 0.1909 | 25.1789 | 18.8603 | 0.1227 | 0.005416 | 0.250961 | 7.8 | 20.3 | 2.209400e+08 | 0.230941 | 0.014604 | % |
| 118 | Panama | Central America, Caribbean | 0.0000 | 9.1864 | 25.9557 | 0.0000 | 3.8355 | 0.8991 | 0.8614 | 0.5722 | 9.1046 | 0.1320 | 5.7281 | 0.1258 | 0.1823 | 1.4273 | 0.1509 | 0.0377 | 0.0566 | 1.0375 | 0.0000 | 0.0000 | 0.4339 | 24.0317 | 16.2412 | 0.5722 | 0.127364 | 7.622321 | 22.5 | 10 | 4.283000e+06 | 6.773850 | 0.721107 | % |
| 119 | Paraguay | South America | 0.0000 | 3.8811 | 19.8084 | 0.0000 | 4.9807 | 1.5622 | 0.1742 | 0.3974 | 10.2335 | 0.0272 | 3.7069 | 0.1198 | 0.2558 | 2.0576 | 0.2123 | 0.0218 | 0.5552 | 0.5334 | 0.0000 | 0.0000 | 0.0163 | 30.1889 | 21.2672 | 0.3974 | 0.038691 | 1.896664 | 19.0 | 10.7 | 7.255000e+06 | 1.562591 | 0.295382 | % |
| 120 | Peru | South America | 0.0000 | 1.1055 | 18.0402 | 0.0000 | 5.5879 | 2.1206 | 1.9497 | 1.6382 | 6.8241 | 0.0302 | 5.6080 | 0.4523 | 0.4322 | 2.5628 | 0.6030 | 0.0704 | 0.6834 | 0.4523 | 0.0000 | 0.0000 | 0.2312 | 31.9598 | 19.6482 | 1.6382 | 0.127751 | 3.573742 | 19.1 | 9.7 | 3.282400e+07 | 3.310514 | 0.135477 | % |
| 121 | Philippines | Asia | 0.0000 | 7.3714 | 29.7607 | 0.0000 | 3.4748 | 1.0544 | 1.6045 | 0.7243 | 18.8870 | 0.0275 | 0.5684 | 0.3576 | 0.2751 | 2.2371 | 0.0550 | 0.0642 | 0.2200 | 0.3576 | 0.0000 | 0.0183 | 0.7701 | 20.2439 | 11.9281 | 0.7243 | 0.010139 | 0.488699 | 6.0 | 13.3 | 1.095810e+08 | 0.445757 | 0.032803 | % |
| 122 | Poland | Europe | 0.0000 | 12.3719 | 32.7460 | 0.0000 | 1.6183 | 0.7141 | 0.4851 | 0.2057 | 13.3072 | 0.0000 | 5.8600 | 0.2639 | 0.0078 | 0.4967 | 0.0310 | 0.0427 | 0.1087 | 0.0737 | 0.0000 | 0.0000 | 0.4385 | 17.2540 | 13.9747 | 0.2057 | 0.101632 | 4.028175 | 25.6 | <2.5 | 3.836800e+07 | 3.392335 | 0.534208 | % |
| 123 | Portugal | Europe | 0.0000 | 9.5983 | 26.4556 | 0.0000 | 2.1808 | 0.7993 | 1.0267 | 0.2825 | 10.3459 | 0.0138 | 4.5442 | 0.2825 | 0.1378 | 0.4203 | 0.0689 | 0.0413 | 0.0586 | 1.3540 | 0.0000 | 0.0000 | 0.7648 | 23.5444 | 18.0803 | 0.2825 | 0.136070 | 7.429605 | 23.2 | <2.5 | 1.025500e+07 | 5.846836 | 1.446699 | % |
| 124 | Republic of Moldova | Europe | 0.0000 | 6.8551 | 26.5244 | 0.0000 | 2.5570 | 1.5517 | 0.6921 | 0.2987 | 9.7764 | 0.0656 | 7.5326 | 0.3570 | 0.1238 | 0.2841 | 0.0291 | 0.0146 | 0.0874 | 0.8305 | 0.0000 | 0.0000 | 0.1093 | 23.4720 | 18.8388 | 0.2987 | 0.099859 | 4.646195 | 20.1 | NaN | 3.535000e+06 | 4.333692 | 0.212645 | % |
| 125 | Romania | Europe | 0.0000 | 6.8987 | 27.4359 | 0.0000 | 2.5519 | 1.5914 | 0.1994 | 0.2930 | 7.9894 | 0.0366 | 10.6349 | 0.4477 | 0.1221 | 0.5495 | 0.0407 | 0.4965 | 0.1099 | 0.8506 | 0.0000 | 0.0000 | 0.6797 | 22.5600 | 16.5120 | 0.2930 | 0.097755 | 3.863328 | 24.5 | <2.5 | 1.924100e+07 | 3.583358 | 0.182215 | % |
| 126 | Russian Federation | Europe | 0.0000 | 7.2000 | 27.9360 | 0.0000 | 1.6511 | 1.9603 | 0.9415 | 0.2138 | 10.8433 | 0.0091 | 6.8453 | 0.2638 | 0.1455 | 0.7823 | 0.0546 | 0.0273 | 0.1410 | 0.4184 | 0.0000 | 0.0000 | 0.1274 | 22.0640 | 18.3753 | 0.2138 | 0.051120 | 2.663104 | 25.7 | <2.5 | 1.467330e+08 | 2.316142 | 0.295842 | % |
| 127 | Rwanda | Sub-Saharan Africa | 0.0000 | 1.0364 | 11.0727 | 0.0000 | 4.8545 | 0.1636 | 0.6364 | 9.6727 | 5.2182 | 0.0182 | 3.7818 | 0.2545 | 0.2364 | 3.6545 | 2.6909 | 0.0545 | 2.1636 | 0.0545 | 0.0000 | 0.0000 | 0.0182 | 38.9091 | 15.5091 | 9.6727 | 0.001675 | 0.126135 | 4.8 | 36.8 | 1.295200e+07 | 0.093013 | 0.031447 | % |
| 128 | Saint Kitts and Nevis | Central America, Caribbean | 0.0000 | 4.7370 | 24.3013 | 0.0000 | 2.0602 | 0.5600 | 0.7296 | 0.3596 | 14.3547 | 0.1439 | 3.7916 | 0.1233 | 0.1233 | 2.9028 | 0.1541 | 0.2055 | 0.0462 | 0.1798 | 0.0000 | 0.0000 | 0.5189 | 25.7039 | 19.0043 | 0.3596 | 0.000000 | 0.074074 | 23.1 | NaN | 5.400000e+04 | 0.066667 | 0.007407 | % |
| 129 | Saint Lucia | Central America, Caribbean | 0.0000 | 3.8130 | 33.3454 | 0.0000 | 1.6712 | 0.5249 | 1.5867 | 0.3741 | 22.8778 | 0.1629 | 4.3137 | 0.1508 | 0.2353 | 2.4012 | 0.1810 | 0.4163 | 0.0965 | 0.9894 | 0.0000 | 0.0000 | 0.5551 | 16.6516 | 9.6531 | 0.3741 | 0.009890 | 0.996154 | 19.8 | NaN | 1.820000e+05 | 0.480769 | 0.505495 | % |
| 130 | Saint Vincent and the Grenadines | Central America, Caribbean | 0.0000 | 1.0850 | 24.4653 | 0.0000 | 4.3274 | 0.7589 | 0.7150 | 0.7526 | 17.5290 | 0.2258 | 4.2521 | 0.2509 | 0.1254 | 0.6773 | 0.2759 | 1.2919 | 0.1756 | 1.7184 | 0.0000 | 0.0000 | 0.4516 | 25.5315 | 15.3904 | 0.7526 | 0.002703 | 1.082883 | 23.8 | 5.7 | 1.110000e+05 | 0.361261 | 0.718919 | % |
| 131 | Samoa | Australia, Oceania | 0.0000 | 4.7780 | 21.6806 | 0.0036 | 1.5771 | 0.2227 | 1.8968 | 0.6287 | 13.2418 | 0.0683 | 1.4693 | 0.0431 | 0.0683 | 16.8666 | 0.0000 | 0.1150 | 0.3341 | 0.2910 | 0.0000 | 0.0000 | 0.0611 | 28.3194 | 8.3345 | 0.6287 | 0.000000 | 0.001000 | 45.5 | 2.7 | 2.000000e+05 | 0.001000 | 0.000000 | % |
| 132 | Sao Tome and Principe | Sub-Saharan Africa | 0.0000 | 0.6241 | 7.3284 | 0.0000 | 2.9864 | 0.1074 | 1.4361 | 1.2013 | 4.1809 | 0.0537 | 0.9731 | 0.0738 | 0.0134 | 20.7704 | 0.1342 | 0.0336 | 0.1544 | 0.0738 | 0.0000 | 0.0000 | 0.0268 | 42.6616 | 17.1666 | 1.2013 | 0.008571 | 0.643333 | 10.6 | 7 | 2.100000e+05 | 0.504762 | 0.130000 | % |
| 133 | Saudi Arabia | Middle East, North Africa, Greater Arabia | 0.0000 | 2.6475 | 15.3954 | 0.0000 | 5.2126 | 0.9019 | 0.4122 | 0.4219 | 6.9243 | 0.0873 | 4.4125 | 0.1891 | 0.0970 | 0.6207 | 0.1794 | 0.4800 | 0.0291 | 1.2510 | 0.0000 | 0.0000 | 0.7128 | 34.6070 | 25.4182 | 0.4219 | 0.018256 | 1.055795 | 35.0 | 7.1 | 3.504100e+07 | 1.030898 | 0.006641 | % |
| 134 | Senegal | Sub-Saharan Africa | 0.0000 | 0.7876 | 6.1040 | 0.0000 | 5.7374 | 0.2580 | 0.7129 | 0.0815 | 3.2319 | 0.0068 | 0.9845 | 0.1901 | 0.1222 | 3.9041 | 0.1222 | 0.1697 | 0.0543 | 0.2037 | 0.0000 | 0.0000 | 0.3870 | 43.9028 | 33.0391 | 0.0815 | 0.004031 | 0.170145 | 7.4 | 11.3 | 1.674400e+07 | 0.139107 | 0.027007 | % |
| 135 | Serbia | Europe | 0.0000 | 4.0698 | 33.0354 | 0.0000 | 2.1213 | 1.5195 | 0.3396 | 0.5780 | 18.1385 | 0.0060 | 8.7594 | 0.3635 | 0.2145 | 1.1262 | 0.0775 | 0.0834 | 0.0596 | 1.5016 | 0.0000 | 0.0000 | 0.9355 | 16.9646 | 10.1061 | 0.5780 | 0.059106 | 5.840908 | 23.5 | 5.7 | 6.957000e+06 | 0.000000 | 5.781803 | % |
| 136 | Sierra Leone | Sub-Saharan Africa | 0.0000 | 0.1678 | 5.9931 | 0.0000 | 3.2063 | 0.2983 | 1.2117 | 0.2610 | 2.0412 | 0.0373 | 2.1996 | 0.2703 | 0.0746 | 4.8560 | 0.4660 | 0.2889 | 0.4474 | 0.0746 | 0.0000 | 0.0000 | 0.0559 | 44.0022 | 34.0479 | 0.2610 | 0.000990 | 0.047286 | 7.5 | 25.6 | 7.977000e+06 | 0.030738 | 0.015557 | % |
| 137 | Slovakia | Europe | 0.0000 | 14.9373 | 25.4930 | 0.0000 | 2.0003 | 1.1183 | 0.2331 | 0.1386 | 5.8496 | 0.0095 | 3.2697 | 0.1292 | 0.0851 | 0.7686 | 0.0221 | 0.0599 | 0.0410 | 0.7655 | 0.0000 | 0.0000 | 0.4253 | 24.5070 | 20.1474 | 0.1386 | 0.094013 | 4.792640 | 22.4 | 3.4 | 5.462000e+06 | 4.361424 | 0.337202 | % |
| 138 | Slovenia | Europe | 0.0000 | 10.0008 | 26.6163 | 0.0000 | 3.5771 | 1.1287 | 0.3693 | 0.4606 | 8.5899 | 0.0622 | 6.4155 | 0.2697 | 0.1120 | 0.8714 | 0.0415 | 0.1784 | 0.0539 | 2.4110 | 0.0000 | 0.0000 | 1.5852 | 23.3878 | 13.8684 | 0.4606 | 0.171755 | 8.235901 | 22.5 | <2.5 | 2.103000e+06 | 7.312934 | 0.751213 | % |
| 139 | Solomon Islands | Australia, Oceania | 0.0000 | 3.4726 | 13.6649 | 0.0000 | 3.0802 | 0.2943 | 2.5505 | 0.5690 | 6.5431 | 0.0981 | 0.7553 | 0.0785 | 0.0490 | 16.5686 | 0.5199 | 0.1962 | 2.1778 | 0.9810 | 0.0000 | 0.0000 | 0.3139 | 36.3351 | 11.7520 | 0.5690 | 0.000000 | 0.002378 | 20.5 | 8.9 | 7.150000e+05 | 0.001399 | 0.000979 | % |
| 140 | South Africa | Sub-Saharan Africa | 0.0000 | 0.8542 | 19.7743 | 0.0000 | 6.4308 | 1.0982 | 0.2379 | 0.0854 | 14.1489 | 0.0000 | 3.1056 | 0.1647 | 0.3295 | 1.1836 | 0.0427 | 0.1037 | 0.0549 | 0.2807 | 0.0000 | 0.0000 | 0.0915 | 30.2257 | 21.7877 | 0.0854 | 0.077447 | 2.471490 | 27.0 | 6.2 | 5.962800e+07 | 2.248100 | 0.145943 | % |
| 141 | Spain | Europe | 0.0000 | 2.4641 | 19.5253 | 0.0000 | 1.0780 | 1.2521 | 1.0814 | 0.3750 | 9.2772 | 0.0000 | 5.3601 | 0.2611 | 0.0937 | 1.0513 | 0.0971 | 0.0134 | 0.0469 | 0.4955 | 0.0000 | 0.0000 | 1.3626 | 30.4731 | 25.6922 | 0.3750 | 0.128867 | 6.176110 | 27.1 | <2.5 | 4.763500e+07 | 0.315684 | 5.731559 | % |
| 142 | Sri Lanka | Asia | 0.0000 | 0.3195 | 10.1348 | 0.0000 | 2.7159 | 1.1682 | 2.2766 | 0.5791 | 2.0270 | 0.0100 | 4.2336 | 0.2396 | 0.0999 | 27.1892 | 0.3794 | 1.4279 | 0.0899 | 0.1198 | 0.0000 | 0.0100 | 0.4194 | 39.8602 | 6.7000 | 0.5791 | 0.001600 | 0.312604 | 5.4 | 9 | 2.193700e+07 | 0.285335 | 0.025669 | % |
| 143 | Sudan | Sub-Saharan Africa | 0.0000 | 1.7092 | 20.1511 | 0.0000 | 5.6998 | 0.2347 | 0.0587 | 0.3961 | 7.0789 | 0.0073 | 10.8055 | 0.3521 | 0.2641 | 3.7265 | 0.4108 | 0.1174 | 0.0587 | 0.0587 | 0.0000 | 0.0000 | 0.0000 | 29.8489 | 19.0214 | 0.3961 | 0.004176 | 0.067582 | 7.4 | 20.1 | 4.384900e+07 | 0.049702 | 0.013704 | % |
| 144 | Suriname | South America | 0.0000 | 0.7849 | 14.8751 | 0.0000 | 3.1593 | 0.9601 | 0.7720 | 0.2335 | 10.6390 | 0.1557 | 1.6867 | 0.2789 | 0.0324 | 3.1139 | 0.0649 | 0.0584 | 0.1103 | 0.8823 | 0.0000 | 0.0000 | 0.1557 | 35.1281 | 26.9089 | 0.2335 | 0.026446 | 1.429752 | 26.5 | 8.5 | 6.050000e+05 | 1.318017 | 0.085289 | % |
| 145 | Sweden | Europe | 0.0000 | 9.7148 | 28.4111 | 0.0000 | 1.9481 | 1.3741 | 0.8778 | 0.3556 | 8.8481 | 0.0481 | 7.5926 | 0.2296 | 0.0074 | 0.9519 | 0.0296 | 0.1111 | 0.0481 | 0.2333 | 0.0000 | 0.0000 | 0.9704 | 21.5852 | 16.6630 | 0.3556 | 0.116749 | 5.666975 | 22.1 | <2.5 | 1.037700e+07 | 0.000000 | 5.550226 | % |
| 146 | Switzerland | Europe | 0.0000 | 6.2293 | 28.1054 | 0.0000 | 1.1241 | 0.9300 | 0.4048 | 0.3379 | 12.0906 | 0.0000 | 8.3804 | 0.2141 | 0.0703 | 0.5286 | 0.0268 | 0.0836 | 0.0368 | 0.1740 | 0.0000 | 0.0000 | 1.9772 | 21.8962 | 17.3898 | 0.3379 | 0.111258 | 6.160215 | 21.2 | <2.5 | 8.634000e+06 | 3.678480 | 2.370477 | % |
| 147 | Taiwan* | Asia | 0.0000 | 2.6952 | 19.3217 | 0.0000 | 1.1629 | 1.4818 | 0.4667 | 0.2956 | 13.2817 | 0.0194 | 1.3223 | 0.3111 | 0.0700 | 2.8197 | 0.0506 | 0.1050 | 0.0194 | 0.4823 | 0.0000 | 0.0000 | 0.6145 | 30.6783 | 24.8016 | 0.2956 | 0.000038 | 0.003914 | NaN | 3.5 | 2.361000e+07 | 0.003571 | 0.000305 | % |
| 148 | Tajikistan | Asia | 0.0000 | 0.0348 | 12.6827 | 0.0000 | 10.2035 | 0.5741 | 0.0174 | 0.3566 | 7.1590 | 0.0348 | 4.6799 | 0.9395 | 0.2175 | 1.2700 | 0.1131 | 0.0174 | 0.0783 | 1.1308 | 0.0000 | 0.0000 | 0.4175 | 37.3173 | 22.7557 | 0.3566 | 0.000955 | 0.141139 | 12.6 | NaN | 9.429000e+06 | 0.140185 | 0.000000 | % |
| 149 | Thailand | Asia | 0.0000 | 1.6660 | 19.5718 | 0.0000 | 2.5380 | 2.8961 | 1.7984 | 0.5060 | 11.6621 | 0.0078 | 1.4636 | 0.2102 | 0.0934 | 4.6166 | 0.1012 | 1.7594 | 0.0701 | 0.1246 | 0.0000 | 0.0000 | 0.2647 | 30.4165 | 20.2336 | 0.5060 | 0.000119 | 0.035126 | 10.8 | 7.8 | 6.653400e+07 | 0.025464 | 0.009544 | % |
| 150 | Timor-Leste | Australia, Oceania | 0.0000 | 2.0345 | 17.8988 | 0.0000 | 10.2168 | 0.2446 | 0.7893 | 1.3007 | 14.5525 | 0.1112 | 0.1779 | 0.1668 | 0.0889 | 3.5353 | 0.2779 | 0.1445 | 0.1779 | 0.2001 | 0.0000 | 0.0000 | 0.0111 | 32.1067 | 15.9644 | 1.3007 | 0.000000 | 0.006070 | 2.9 | 24.9 | 1.318000e+06 | 0.004628 | 0.001442 | % |
| 151 | Togo | Sub-Saharan Africa | 0.0000 | 0.5351 | 5.3063 | 0.0000 | 8.9093 | 0.1962 | 0.5708 | 0.0624 | 3.3889 | 0.0803 | 0.5440 | 0.1516 | 0.0713 | 2.9608 | 0.8918 | 0.2230 | 0.6064 | 0.1694 | 0.0000 | 0.0000 | 0.0000 | 44.6892 | 30.6430 | 0.0624 | 0.000954 | 0.065660 | 7.1 | 16.1 | 8.279000e+06 | 0.054777 | 0.009929 | % |
| 152 | Trinidad and Tobago | Central America, Caribbean | 0.0000 | 5.3472 | 23.3455 | 0.0000 | 2.5134 | 0.6185 | 0.7816 | 0.3205 | 11.3860 | 0.1012 | 5.1279 | 0.1799 | 0.0843 | 3.1993 | 0.3430 | 0.4386 | 0.0843 | 0.4386 | 0.0000 | 0.0000 | 0.5960 | 26.6573 | 18.4369 | 0.3205 | 0.009861 | 0.556026 | 19.7 | 5.5 | 1.369000e+06 | 0.529949 | 0.016216 | % |
| 153 | Tunisia | Middle East, North Africa, Greater Arabia | 0.0000 | 2.6543 | 12.7886 | 0.0000 | 3.2543 | 0.9255 | 0.5085 | 0.4068 | 4.0323 | 0.0102 | 4.5764 | 0.7627 | 0.0915 | 1.4085 | 0.2034 | 0.3407 | 0.0407 | 0.3000 | 0.0000 | 0.0000 | 2.3289 | 37.2114 | 28.1552 | 0.4068 | 0.060205 | 1.817216 | 27.3 | 4.3 | 1.189600e+07 | 1.453304 | 0.303707 | % |
| 154 | Turkey | Middle East, North Africa, Greater Arabia | 0.0000 | 2.9392 | 13.6766 | 0.0000 | 2.0428 | 0.8250 | 0.1428 | 0.3292 | 3.8475 | 0.0079 | 5.8586 | 0.6703 | 0.0674 | 1.7453 | 0.3808 | 0.3729 | 0.0516 | 0.0912 | 0.0000 | 0.0000 | 2.8162 | 36.3175 | 27.8172 | 0.3292 | 0.031868 | 3.015138 | 32.2 | <2.5 | 8.373700e+07 | 2.881050 | 0.102220 | % |
| 155 | Turkmenistan | Asia | 0.0000 | 6.4856 | 32.6886 | 0.0000 | 2.9938 | 1.1060 | 0.1274 | 0.3069 | 17.4764 | 0.0347 | 7.4411 | 0.4459 | 0.0521 | 0.3938 | 0.0405 | 0.0058 | 0.0521 | 1.0829 | 0.0000 | 0.0000 | 0.1969 | 17.3085 | 11.7610 | 0.3069 | NaN | NaN | 17.5 | 5.4 | 6.031000e+06 | NaN | NaN | % |
| 156 | Uganda | Sub-Saharan Africa | 0.0000 | 0.9627 | 12.3139 | 0.0000 | 3.4479 | 0.2239 | 0.8620 | 0.7164 | 6.1010 | 0.0112 | 4.0188 | 0.1567 | 0.1343 | 6.5599 | 1.0411 | 0.0336 | 0.5709 | 0.1008 | 0.0000 | 0.0000 | 0.0000 | 37.6917 | 25.0532 | 0.7164 | 0.000715 | 0.087058 | 4.1 | 41 | 4.574100e+07 | 0.031370 | 0.054973 | % |
| 157 | Ukraine | Europe | 0.0000 | 5.4940 | 26.9100 | 0.0000 | 3.0837 | 2.4481 | 0.5160 | 0.3084 | 9.6350 | 0.0063 | 8.6910 | 0.5223 | 0.1196 | 0.1007 | 0.0629 | 0.0378 | 0.2266 | 0.4972 | 0.0000 | 0.0000 | 0.7867 | 23.0900 | 17.4638 | 0.3084 | 0.059206 | 3.075923 | 26.1 | 3.5 | 4.177800e+07 | 2.653382 | 0.363335 | % |
| 158 | United Arab Emirates | Middle East, North Africa, Greater Arabia | 0.0000 | 4.0036 | 21.4437 | 0.0000 | 3.0418 | 1.1407 | 0.8108 | 0.6766 | 9.4610 | 0.1006 | 5.8600 | 0.4306 | 0.1677 | 3.2040 | 1.0624 | 1.1295 | 0.0168 | 0.1454 | 0.0000 | 0.0000 | 3.8246 | 28.5563 | 14.9240 | 0.6766 | 0.009348 | 3.307445 | 29.9 | 2.6 | 9.778000e+06 | 3.079168 | 0.218930 | % |
| 159 | United Kingdom | Europe | 0.0000 | 4.2615 | 25.8633 | 0.0000 | 1.4678 | 1.0778 | 0.5176 | 0.4219 | 12.5789 | 0.0780 | 7.3530 | 0.2127 | 0.0745 | 1.1664 | 0.0638 | 0.1276 | 0.0851 | 1.4642 | 0.0000 | 0.0000 | 0.7020 | 24.1332 | 18.3507 | 0.4219 | 0.167220 | 5.868483 | 29.5 | <2.5 | 6.716000e+07 | 0.015161 | 5.686102 | % |
| 160 | United Republic of Tanzania | Sub-Saharan Africa | 0.0000 | 1.5442 | 7.5907 | 0.0000 | 4.2140 | 0.0744 | 0.4558 | 0.2698 | 3.0140 | 0.0000 | 2.5023 | 0.2419 | 0.0000 | 8.3628 | 1.0233 | 0.1302 | 0.7163 | 0.0279 | 0.0000 | 0.0000 | 0.3628 | 42.4093 | 27.0605 | 0.2698 | 0.000035 | 0.000852 | 7.1 | 30.7 | 5.973400e+07 | 0.000306 | 0.000511 | % |
| 161 | United States of America | North America | 0.0000 | 3.3013 | 21.2045 | 0.0000 | 1.2829 | 1.2500 | 0.3887 | 0.4426 | 9.4166 | 0.0000 | 6.8359 | 0.1944 | 0.0090 | 1.7464 | 0.0449 | 0.0867 | 0.0478 | 0.3977 | 0.0000 | 0.0000 | 0.9420 | 28.7970 | 23.6117 | 0.4426 | 0.140103 | 8.159922 | 37.3 | <2.5 | 3.298780e+08 | 0.000000 | 8.019819 | % |
| 162 | Uruguay | South America | 0.0000 | 3.4811 | 25.5069 | 0.0000 | 2.5698 | 1.2804 | 0.3281 | 0.1777 | 12.2841 | 0.0456 | 8.0603 | 0.2096 | 0.0729 | 1.5127 | 0.0729 | 0.0319 | 0.1002 | 0.7564 | 0.0000 | 0.0000 | 0.1367 | 24.4908 | 18.8819 | 0.1777 | 0.013622 | 1.269102 | 28.9 | <2.5 | 3.531000e+06 | 1.089465 | 0.166015 | % |
| 163 | Uzbekistan | Asia | 0.0000 | 2.4884 | 25.9903 | 0.0000 | 2.7168 | 1.0639 | 0.0962 | 0.5830 | 10.3624 | 0.0120 | 11.8050 | 0.8535 | 0.1743 | 0.3366 | 0.0000 | 0.0180 | 0.0902 | 0.1683 | 0.0000 | 0.0000 | 0.7754 | 24.0067 | 18.4589 | 0.5830 | 0.001817 | 0.231302 | 15.3 | 6.3 | 3.417400e+07 | 0.226751 | 0.002733 | % |
| 164 | Vanuatu | Australia, Oceania | 0.0000 | 1.9531 | 14.9179 | 0.0000 | 4.1249 | 0.3509 | 1.4343 | 0.3052 | 9.9334 | 0.0254 | 1.1495 | 0.1424 | 0.0966 | 23.1779 | 0.0000 | 0.1068 | 0.4578 | 0.2187 | 0.0000 | 0.0000 | 0.0356 | 35.0847 | 6.4849 | 0.3052 | 0.000000 | 0.000312 | 23.5 | 7.2 | 3.210000e+05 | 0.000312 | 0.000000 | % |
| 165 | Venezuela (Bolivarian Republic of) | South America | 0.0000 | 2.2673 | 16.3261 | 0.0000 | 2.5449 | 0.6555 | 0.5707 | 0.9640 | 7.0949 | 0.0077 | 5.5217 | 0.1851 | 0.2082 | 0.1003 | 0.1157 | 0.0000 | 0.1311 | 0.0848 | 0.0000 | 0.0000 | 0.0154 | 33.6855 | 29.5211 | 0.9640 | 0.004287 | 0.452585 | 25.2 | 21.2 | 2.864500e+07 | 0.424399 | 0.023899 | % |
| 166 | Vietnam | Asia | 0.0000 | 3.8238 | 33.2484 | 0.0000 | 3.7155 | 0.7839 | 1.1217 | 0.4079 | 26.4292 | 0.0064 | 0.7520 | 0.6373 | 0.3378 | 4.2891 | 0.0765 | 0.6309 | 0.0701 | 0.0829 | 0.0382 | 0.0000 | 1.1726 | 16.7548 | 5.6211 | 0.4079 | 0.000036 | 0.002063 | 2.1 | 9.3 | 9.620900e+07 | 0.001526 | 0.000501 | % |
| 167 | Yemen | Middle East, North Africa, Greater Arabia | 0.0000 | 2.0131 | 12.5401 | 0.0000 | 11.5271 | 0.5514 | 0.3847 | 0.2564 | 8.0010 | 0.0256 | 1.3463 | 0.1667 | 0.2436 | 0.7565 | 0.5001 | 0.1026 | 0.0513 | 0.3718 | 0.0000 | 0.0000 | 0.0769 | 37.4535 | 23.6312 | 0.2564 | 0.002062 | 0.007131 | 14.1 | 38.9 | 2.982600e+07 | 0.004788 | 0.000282 | % |
| 168 | Zambia | Sub-Saharan Africa | 0.0783 | 1.6113 | 9.6005 | 0.0000 | 14.3225 | 0.6266 | 1.0070 | 0.1343 | 4.9010 | 0.0224 | 1.2756 | 0.1567 | 0.1790 | 9.8915 | 0.0783 | 0.1567 | 0.2014 | 0.0671 | 0.0000 | 0.0000 | 0.0112 | 40.3939 | 15.2848 | 0.1343 | 0.004564 | 0.334133 | 6.5 | 46.7 | 1.838400e+07 | 0.290524 | 0.039045 | % |
| 169 | Zimbabwe | Sub-Saharan Africa | 0.0000 | 2.9543 | 10.3796 | 0.0000 | 9.7922 | 0.3682 | 0.2455 | 0.0614 | 4.5674 | 0.0175 | 2.1040 | 0.0789 | 0.1315 | 1.9462 | 0.1140 | 0.0526 | 0.0877 | 0.1052 | 0.0000 | 0.0000 | 0.4296 | 39.6248 | 26.9396 | 0.0614 | 0.008854 | 0.232033 | 12.3 | 51.3 | 1.486300e+07 | 0.190964 | 0.032214 | % |
food_regions_df = food_regions_df[['Country', 'Region', 'Alcoholic Beverages', 'Animal fats', 'Animal Products', 'Aquatic Products, Other',
'Cereals - Excluding Beer', 'Eggs', 'Fish, Seafood', 'Fruits - Excluding Wine', 'Meat',
'Miscellaneous', 'Milk - Excluding Butter', 'Vegetables', 'Offals', 'Oilcrops', 'Pulses', 'Spices',
'Starchy Roots', 'Stimulants', 'Sugar Crops', 'Sugar & Sweeteners', 'Treenuts',
'Vegetal Products', 'Vegetable Oils', 'Fruits - Excluding Wine', 'Deaths', 'Confirmed', 'Obesity', 'Undernourished',
'Population', 'Recovered', 'Active',
'Unit (all except Population)']]
food_regions_df
| Country | Region | Alcoholic Beverages | Animal fats | Animal Products | Aquatic Products, Other | Cereals - Excluding Beer | Eggs | Fish, Seafood | Fruits - Excluding Wine | Meat | Miscellaneous | Milk - Excluding Butter | Vegetables | Offals | Oilcrops | Pulses | Spices | Starchy Roots | Stimulants | Sugar Crops | Sugar & Sweeteners | Treenuts | Vegetal Products | Vegetable Oils | Fruits - Excluding Wine | Deaths | Confirmed | Obesity | Undernourished | Population | Recovered | Active | Unit (all except Population) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Middle East, North Africa, Greater Arabia | 0.0014 | 0.1973 | 9.4341 | 0.0000 | 24.8097 | 0.2099 | 0.0350 | 5.3495 | 1.2020 | 0.0728 | 7.5828 | 6.7642 | 0.2057 | 0.0700 | 0.2953 | 0.0574 | 0.8802 | 0.3078 | 0.0000 | 1.3489 | 0.0770 | 40.5645 | 0.5345 | 5.3495 | 0.006186 | 0.142134 | 4.5 | 29.8 | 3.892800e+07 | 0.123374 | 0.012574 | % |
| 1 | Albania | Europe | 1.6719 | 0.1357 | 18.7684 | 0.0000 | 5.7817 | 0.5815 | 0.2126 | 6.7861 | 1.8845 | 0.1123 | 15.7213 | 11.7753 | 0.2324 | 0.9377 | 0.2380 | 0.0008 | 1.8096 | 0.1055 | 0.0000 | 1.5367 | 0.1515 | 31.2304 | 0.3261 | 6.7861 | 0.050951 | 2.967301 | 22.3 | 6.2 | 2.838000e+06 | 1.792636 | 1.123714 | % |
| 2 | Algeria | Middle East, North Africa, Greater Arabia | 0.2711 | 0.0282 | 9.6334 | 0.0000 | 13.6816 | 0.5277 | 0.2416 | 6.3801 | 1.1305 | 0.1671 | 7.6189 | 11.6484 | 0.0870 | 0.3493 | 0.4783 | 0.0557 | 4.1340 | 0.2216 | 0.0000 | 1.8342 | 0.1152 | 40.3651 | 1.0310 | 6.3801 | 0.006558 | 0.244897 | 26.6 | 3.9 | 4.435700e+07 | 0.167572 | 0.070767 | % |
| 3 | Angola | Sub-Saharan Africa | 5.8087 | 0.0560 | 4.9278 | 0.0000 | 9.1085 | 0.0587 | 1.7707 | 6.0005 | 2.0571 | 0.1165 | 0.8311 | 2.3041 | 0.1550 | 0.4186 | 0.6507 | 0.0009 | 18.1102 | 0.0508 | 0.0000 | 1.8495 | 0.0061 | 45.0722 | 0.6463 | 6.0005 | 0.001461 | 0.061687 | 6.8 | 25 | 3.252200e+07 | 0.056808 | 0.003419 | % |
| 4 | Antigua and Barbuda | Central America, Caribbean | 3.5764 | 0.0087 | 16.6613 | 0.0000 | 5.9960 | 0.2274 | 4.1489 | 10.7451 | 5.6888 | 0.7139 | 6.3663 | 5.4495 | 0.2219 | 0.2172 | 0.1840 | 0.1524 | 1.4522 | 0.1564 | 0.0000 | 3.8749 | 0.0253 | 33.3233 | 0.8102 | 10.7451 | 0.007143 | 0.293878 | 19.1 | NaN | 9.800000e+04 | 0.190816 | 0.095918 | % |
| 5 | Argentina | South America | 4.2672 | 0.2234 | 19.3454 | 0.0000 | 8.4102 | 0.9979 | 0.4693 | 6.0435 | 7.0421 | 0.0000 | 10.2328 | 4.3503 | 0.3779 | 0.0116 | 0.0528 | 0.0122 | 3.0420 | 0.4378 | 0.0000 | 3.0536 | 0.0200 | 30.6559 | 0.9541 | 6.0435 | 0.108227 | 4.356147 | 28.5 | 4.6 | 4.537700e+07 | 3.905192 | 0.342729 | % |
| 6 | Armenia | Europe | 0.4014 | 0.1833 | 13.5640 | 0.0000 | 7.2982 | 0.5783 | 0.2896 | 6.0989 | 2.2675 | 0.2355 | 9.9407 | 16.7019 | 0.3040 | 0.0899 | 0.1441 | 0.0055 | 2.0359 | 0.1863 | 0.0000 | 2.6579 | 0.1108 | 36.4358 | 0.4705 | 6.0989 | 0.105345 | 5.681225 | 20.9 | 4.3 | 2.956000e+06 | 5.398410 | 0.177470 | % |
| 7 | Australia | Australia, Oceania | 5.5436 | 0.3143 | 21.4175 | 0.0033 | 5.4979 | 0.4428 | 1.4264 | 4.1883 | 6.7049 | 0.5293 | 12.1018 | 5.1406 | 0.4240 | 0.3694 | 0.0546 | 0.0458 | 2.7884 | 0.2928 | 0.0000 | 2.5364 | 0.3176 | 28.5806 | 1.2798 | 4.1883 | 0.003530 | 0.112025 | 30.4 | <2.5 | 2.575400e+07 | 0.101289 | 0.007207 | % |
| 8 | Austria | Europe | 7.0215 | 0.8555 | 19.5654 | 0.0011 | 6.2116 | 0.7884 | 0.7562 | 4.6069 | 4.6810 | 0.0005 | 12.3776 | 5.1098 | 0.1052 | 0.2683 | 0.0456 | 0.0494 | 3.0548 | 0.4106 | 0.0000 | 2.6094 | 0.2367 | 30.4338 | 0.8109 | 4.6069 | 0.089679 | 4.739982 | 21.9 | <2.5 | 8.914000e+06 | 4.496870 | 0.153433 | % |
| 9 | Azerbaijan | Middle East, North Africa, Greater Arabia | 3.5969 | 0.2544 | 11.6416 | 0.0000 | 13.0898 | 0.5593 | 0.2020 | 4.7988 | 2.1513 | 0.0145 | 8.3212 | 10.0755 | 0.1534 | 0.0145 | 0.0347 | 0.0044 | 4.7041 | 0.0587 | 0.0000 | 1.5523 | 0.1906 | 38.3584 | 0.2235 | 4.7988 | 0.031223 | 2.285536 | 19.9 | <2.5 | 1.010800e+07 | 2.225574 | 0.028740 | % |
| 10 | Bahamas | Central America, Caribbean | 2.0175 | 0.0062 | 11.4718 | 0.0009 | 3.7246 | 0.6250 | 2.4144 | 13.2718 | 5.9269 | 2.9316 | 2.1757 | 7.7649 | 0.3218 | 0.6993 | 0.0504 | 0.0884 | 1.0547 | 0.1556 | 0.0000 | 6.2151 | 0.0495 | 38.5229 | 0.5110 | 13.2718 | 0.044784 | 2.100763 | 32.1 | NaN | 3.930000e+05 | 1.735115 | 0.320865 | % |
| 11 | Bangladesh | Asia | 0.0031 | 0.0156 | 5.1926 | 0.0000 | 29.8045 | 0.2957 | 2.5221 | 2.8655 | 0.4191 | 0.0197 | 1.8778 | 3.6405 | 0.0633 | 0.0820 | 0.7065 | 0.3195 | 5.3378 | 0.0529 | 0.1950 | 0.9285 | 0.0934 | 44.8033 | 0.7615 | 2.8655 | 0.004823 | 0.316691 | 3.4 | 14.7 | 1.698090e+08 | 0.284344 | 0.027524 | % |
| 12 | Barbados | Central America, Caribbean | 3.5650 | 0.2212 | 12.4976 | 0.0000 | 8.0666 | 0.7792 | 3.2750 | 5.8723 | 5.8477 | 3.3020 | 2.2041 | 5.4725 | 0.1704 | 0.8734 | 0.6391 | 0.1565 | 4.0812 | 0.1721 | 0.0000 | 4.3344 | 0.0852 | 37.5167 | 0.8677 | 5.8723 | 0.006272 | 0.583972 | 24.8 | 3.9 | 2.870000e+05 | 0.470035 | 0.107666 | % |
| 13 | Belarus | Europe | 3.7563 | 0.3353 | 12.7089 | 0.0000 | 6.2814 | 0.7565 | 0.8372 | 3.5665 | 4.1893 | 0.5035 | 6.2104 | 8.7859 | 0.3795 | 0.0720 | 0.0010 | 0.0067 | 9.1691 | 0.1142 | 0.0000 | 4.0155 | 0.1399 | 37.2904 | 0.8804 | 3.5665 | 0.018912 | 2.740896 | 26.6 | <2.5 | 9.375000e+06 | 2.612704 | 0.109280 | % |
| 14 | Belgium | Europe | 5.3730 | 0.8559 | 17.7279 | 0.0010 | 6.6704 | 0.6487 | 1.1325 | 4.1623 | 3.2370 | 0.0000 | 11.6344 | 6.8161 | 0.2185 | 0.0965 | 0.1132 | 0.0409 | 4.4157 | 0.2461 | 0.0000 | 3.6514 | 0.1309 | 32.2637 | 0.5640 | 4.1623 | 0.185428 | 6.286322 | 24.5 | <2.5 | 1.151500e+07 | 0.000000 | 6.100894 | % |
| 15 | Belize | Central America, Caribbean | 3.3803 | 0.0832 | 8.6856 | 0.0000 | 11.0700 | 0.3923 | 1.0325 | 12.6094 | 3.4890 | 1.7653 | 3.6317 | 4.7721 | 0.0569 | 0.3940 | 1.1259 | 0.0195 | 1.0614 | 0.0849 | 0.0000 | 3.9798 | 0.0340 | 41.3122 | 1.0198 | 12.6094 | 0.073031 | 2.872792 | 22.4 | 7.5 | 4.190000e+05 | 2.739618 | 0.060143 | % |
| 16 | Benin | Sub-Saharan Africa | 5.9019 | 0.0132 | 3.7504 | 0.0000 | 9.6230 | 0.0711 | 1.2267 | 2.9523 | 1.4107 | 0.1450 | 0.9458 | 4.1964 | 0.0829 | 0.6628 | 0.7367 | 0.4461 | 19.7771 | 0.0042 | 0.0000 | 0.6635 | 0.4028 | 46.2493 | 0.7381 | 2.9523 | 0.000450 | 0.034344 | 8.2 | 10.1 | 1.220900e+07 | 0.029183 | 0.004710 | % |
| 17 | Bolivia | South America | 2.8956 | 0.0889 | 11.7799 | 0.0000 | 12.3079 | 0.6626 | 0.2307 | 7.5088 | 6.4098 | 0.1661 | 4.2873 | 3.2224 | 0.1006 | 0.1374 | 0.3654 | 0.0422 | 7.7315 | 0.2083 | 0.0000 | 2.5724 | 0.7084 | 38.2165 | 0.3573 | 7.5088 | 0.092435 | 1.952446 | 18.7 | 17.1 | 1.163300e+07 | 1.438614 | 0.421396 | % |
| 18 | Bosnia and Herzegovina | Europe | 4.7876 | 0.0585 | 12.4319 | 0.0000 | 8.7152 | 0.2576 | 0.2465 | 4.6409 | 1.8165 | 0.4860 | 9.9443 | 11.6394 | 0.1089 | 0.0963 | 0.2718 | 0.3922 | 4.0495 | 0.3504 | 0.0000 | 1.6391 | 0.0822 | 37.5645 | 0.4205 | 4.6409 | 0.145535 | 3.762085 | 19.4 | <2.5 | 3.281000e+06 | 2.960317 | 0.656233 | % |
| 19 | Botswana | Sub-Saharan Africa | 4.2717 | 0.3402 | 14.4486 | 0.0000 | 11.4320 | 0.1402 | 0.3551 | 2.8465 | 2.2840 | 1.6092 | 11.0217 | 4.0558 | 0.3056 | 0.2019 | 0.2729 | 0.1626 | 4.7614 | 0.1336 | 0.0009 | 4.7857 | 0.0150 | 35.5491 | 1.0065 | 2.8465 | 0.007035 | 1.014372 | 16.1 | 26.4 | 2.317000e+06 | 0.844799 | 0.162538 | % |
| 20 | Brazil | South America | 4.3629 | 0.2803 | 17.3470 | 0.0000 | 8.4292 | 0.5042 | 0.5899 | 6.0936 | 6.4784 | 0.0006 | 9.3416 | 3.3070 | 0.1512 | 0.7093 | 0.9254 | 0.0071 | 3.3959 | 0.3024 | 1.0111 | 2.7755 | 0.0513 | 32.6537 | 1.2823 | 6.0936 | 0.108603 | 4.460165 | 22.3 | <2.5 | 2.118120e+08 | 3.979469 | 0.372094 | % |
| 21 | Bulgaria | Europe | 7.0834 | 0.2488 | 17.2483 | 0.0103 | 8.8750 | 0.5924 | 0.4845 | 3.9812 | 4.0073 | 0.2254 | 11.5992 | 6.2037 | 0.3058 | 0.3450 | 0.1512 | 0.6048 | 1.8576 | 0.2818 | 0.0000 | 2.3627 | 0.0797 | 32.7435 | 0.7085 | 3.9812 | 0.134416 | 3.227256 | 27.4 | 3.6 | 6.927000e+06 | 2.788956 | 0.303883 | % |
| 22 | Burkina Faso | Sub-Saharan Africa | 15.3706 | 0.0231 | 4.6611 | 0.0000 | 21.2005 | 0.2406 | 0.7077 | 0.6596 | 1.2029 | 0.1373 | 2.3195 | 1.5036 | 0.1664 | 1.8664 | 1.4294 | 0.0321 | 0.9723 | 0.0211 | 0.0000 | 1.1287 | 0.0712 | 45.3359 | 0.9503 | 0.6596 | 0.000641 | 0.053710 | 4.5 | 20 | 2.090300e+07 | 0.048031 | 0.005038 | % |
| 23 | Cabo Verde | Sub-Saharan Africa | 3.9814 | 0.0363 | 9.7559 | 0.0029 | 14.7961 | 0.4602 | 1.0598 | 4.6402 | 3.0725 | 1.1190 | 5.0192 | 6.6338 | 0.1050 | 0.5394 | 1.1390 | 0.2731 | 3.8430 | 0.1671 | 0.0000 | 2.1396 | 0.0258 | 40.2437 | 0.9471 | 4.6402 | 0.024281 | 2.586331 | 10.6 | 12.6 | 5.560000e+05 | 2.461151 | 0.100899 | % |
| 24 | Cambodia | Asia | 4.5783 | 0.0377 | 6.0800 | 0.0000 | 24.8906 | 0.1310 | 4.2369 | 2.3184 | 1.2247 | 0.4853 | 0.3285 | 3.0072 | 0.1211 | 0.7900 | 0.4903 | 0.0784 | 3.0519 | 0.1260 | 0.8367 | 2.9923 | 0.0238 | 43.9195 | 0.2511 | 2.3184 | 0.000000 | 0.003059 | 3.5 | 16.4 | 1.549700e+07 | 0.002930 | 0.000129 | % |
| 25 | Cameroon | Sub-Saharan Africa | 5.1560 | 0.0146 | 2.9330 | 0.0000 | 10.3112 | 0.0256 | 1.3206 | 7.2151 | 0.8760 | 0.0717 | 0.6289 | 8.8590 | 0.0673 | 0.8658 | 1.4734 | 0.2830 | 11.3883 | 0.0234 | 0.0000 | 0.6479 | 0.1324 | 47.0670 | 0.6398 | 7.2151 | 0.001782 | 0.118031 | 9.5 | 9.9 | 2.659800e+07 | 0.110914 | 0.005335 | % |
| 26 | Canada | North America | 4.8441 | 0.8084 | 16.0365 | 0.0060 | 6.4236 | 0.7668 | 1.2148 | 5.0692 | 4.4707 | 0.6071 | 8.7596 | 5.4961 | 0.0097 | 0.4334 | 0.6304 | 0.0574 | 3.4940 | 0.4053 | 0.0000 | 5.0237 | 0.1439 | 33.9551 | 1.3441 | 5.0692 | 0.054203 | 2.109961 | 31.3 | <2.5 | 3.819000e+07 | 1.909848 | NaN | % |
| 27 | Central African Republic | Sub-Saharan Africa | 1.7435 | 0.1228 | 6.9032 | 0.0000 | 3.8844 | 0.0510 | 0.8041 | 4.5543 | 3.7346 | 0.0614 | 1.7581 | 1.9214 | 0.4338 | 0.6970 | 0.8936 | 0.0031 | 27.7128 | 0.2008 | 0.0000 | 0.7022 | 0.0000 | 43.0942 | 0.7240 | 4.5543 | 0.001304 | 0.103292 | 6.3 | 59.6 | 4.830000e+06 | 0.101139 | 0.000849 | % |
| 28 | Chad | Sub-Saharan Africa | 0.8297 | 0.2023 | 12.2804 | 0.0000 | 21.6017 | 0.0495 | 1.0451 | 1.0669 | 3.8543 | 0.0640 | 5.9037 | 0.9141 | 1.2256 | 3.0304 | 1.4133 | 0.0000 | 6.9910 | 0.0087 | 0.0000 | 1.3449 | 0.0000 | 37.7189 | 0.4556 | 1.0669 | 0.000741 | 0.020578 | 4.8 | 37.5 | 1.687700e+07 | 0.016881 | 0.002957 | % |
| 29 | Chile | South America | 4.9690 | 0.1782 | 15.0394 | 0.0155 | 10.8579 | 0.7757 | 0.8711 | 3.9109 | 6.1492 | 0.3024 | 6.9966 | 5.3092 | 0.0525 | 0.2588 | 0.2677 | 0.0133 | 4.7183 | 0.1353 | 0.0000 | 3.5582 | 0.1190 | 34.9584 | 0.5435 | 3.9109 | 0.097047 | 3.842229 | 28.8 | 2.7 | 1.947000e+07 | 3.626194 | NaN | % |
| 30 | China | Asia | 2.3224 | 0.0866 | 13.4240 | 0.0542 | 8.9298 | 1.2059 | 3.3435 | 4.2451 | 6.0732 | 1.3773 | 1.7962 | 13.0990 | 0.8643 | 0.4401 | 0.0704 | 0.0364 | 1.9016 | 0.1781 | 0.0253 | 3.1065 | 0.2665 | 36.5744 | 0.5790 | 4.2451 | 0.000344 | 0.007156 | 6.6 | 8.5 | 1.402385e+09 | 0.006685 | 0.000126 | % |
| 31 | Colombia | South America | 3.1032 | 0.0814 | 12.8210 | 0.0000 | 8.1055 | 0.8132 | 0.4552 | 11.3276 | 3.5540 | 0.0776 | 7.7443 | 3.0981 | 0.1729 | 0.2276 | 0.3503 | 0.0343 | 5.0309 | 0.0057 | 0.0280 | 4.7518 | 0.0947 | 37.1774 | 0.9454 | 11.3276 | 0.112639 | 4.350795 | 22.1 | 4.8 | 4.944400e+07 | 4.090144 | 0.148012 | % |
| 32 | Congo | Sub-Saharan Africa | 4.9612 | 0.0122 | 6.1258 | 0.0000 | 6.2564 | 0.0457 | 2.3945 | 4.0015 | 3.2735 | 0.1730 | 0.0963 | 2.5520 | 0.3044 | 0.3632 | 0.2408 | 0.0033 | 23.2457 | 0.0171 | 0.0000 | 1.3907 | 0.0016 | 43.8709 | 0.6700 | 4.0015 | 0.014516 | 0.571675 | 8.4 | 40.3 | 5.518000e+06 | 0.379721 | 0.177437 | % |
| 33 | Costa Rica | Central America, Caribbean | 1.6982 | 0.1529 | 18.6770 | 0.0007 | 8.6611 | 0.7582 | 1.3317 | 9.5203 | 3.8631 | 0.0274 | 12.4535 | 2.9837 | 0.1161 | 0.2914 | 0.8354 | 0.0433 | 1.5676 | 0.3181 | 0.0000 | 3.9006 | 0.0397 | 31.3238 | 1.4363 | 9.5203 | 0.052279 | 3.843436 | 25.7 | 4.8 | 5.111000e+06 | 3.055782 | 0.735375 | % |
| 34 | Cote d'Ivoire | Sub-Saharan Africa | 1.4487 | 0.0132 | 2.9144 | 0.0000 | 11.4585 | 0.1587 | 1.3914 | 4.8741 | 0.9586 | 0.0163 | 0.1285 | 2.8098 | 0.2648 | 0.6055 | 0.1727 | 0.1247 | 23.3080 | 0.0759 | 0.0000 | 0.7859 | 0.5443 | 47.0806 | 0.8656 | 4.8741 | 0.000619 | 0.112959 | 9.0 | 19 | 2.617500e+07 | 0.106105 | 0.006235 | % |
| 35 | Croatia | Europe | 4.9846 | 0.2296 | 17.3110 | 0.0005 | 5.7726 | 0.3955 | 0.9196 | 3.4094 | 3.6945 | 0.0000 | 11.8824 | 12.5188 | 0.1889 | 0.3494 | 0.0373 | 0.0236 | 1.8078 | 0.2458 | 0.0000 | 3.0880 | 0.0761 | 32.6838 | 0.3808 | 3.4094 | 0.127960 | 5.848905 | 27.1 | <2.5 | 4.020000e+06 | 5.648706 | 0.072239 | % |
| 36 | Cuba | Central America, Caribbean | 2.0589 | 0.1202 | 10.0096 | 0.0000 | 9.9309 | 0.5263 | 0.3368 | 9.0347 | 3.2837 | 0.0787 | 5.5971 | 8.3740 | 0.1456 | 0.5346 | 1.1336 | 0.0089 | 5.1555 | 0.0657 | 0.0000 | 3.1617 | 0.0006 | 39.9895 | 0.4535 | 9.0347 | 0.002065 | 0.283760 | 26.7 | <2.5 | 1.128100e+07 | 0.230822 | 0.050873 | % |
| 37 | Cyprus | Europe | 3.4447 | 0.0277 | 16.1736 | 0.0015 | 7.0646 | 0.5746 | 1.8209 | 6.1980 | 5.3167 | 1.4858 | 8.2744 | 7.3888 | 0.1584 | 0.4089 | 0.2110 | 0.0307 | 1.7705 | 0.2387 | 0.0000 | 4.2194 | 0.1781 | 33.8191 | 1.1937 | 6.1980 | 0.017481 | 2.621707 | 22.6 | 5.6 | 1.207000e+06 | 0.170423 | 2.433803 | % |
| 38 | Czechia | Europe | 9.8498 | 0.8945 | 17.8065 | 0.0006 | 5.6937 | 0.4964 | 0.5355 | 3.3962 | 4.7618 | 0.1099 | 10.9830 | 4.5289 | 0.1340 | 0.0949 | 0.1139 | 0.0316 | 3.3991 | 0.1340 | 0.0000 | 3.8081 | 0.0477 | 32.1944 | 0.9854 | 3.3962 | 0.159845 | 9.612841 | 28.5 | <2.5 | 1.071600e+07 | 8.555328 | 0.897667 | % |
| 39 | Denmark | Europe | 4.8866 | 1.2415 | 23.2141 | 0.0010 | 6.7226 | 0.8206 | 1.1797 | 3.1098 | 3.6804 | 0.0000 | 15.9557 | 5.2431 | 0.3347 | 0.1185 | 0.0369 | 0.0774 | 3.1113 | 0.4069 | 0.0000 | 2.8728 | 0.1138 | 26.7812 | 0.0915 | 3.1098 | 0.038017 | 3.463218 | 21.3 | <2.5 | 5.829000e+06 | 3.307360 | 0.117842 | % |
| 40 | Djibouti | Sub-Saharan Africa | 0.3778 | 0.0579 | 5.5215 | 0.0000 | 20.2702 | 0.1275 | 0.4276 | 3.2735 | 1.7428 | 1.1831 | 2.9085 | 9.7637 | 0.2572 | 0.0568 | 1.5724 | 0.1506 | 1.8633 | 0.1309 | 0.0000 | 4.2005 | 0.0406 | 44.4582 | 1.6153 | 3.2735 | 0.006377 | 0.601316 | 12.2 | 18.9 | 9.880000e+05 | 0.592308 | 0.002632 | % |
| 41 | Dominica | Central America, Caribbean | 0.9410 | 0.0319 | 8.9011 | 0.0000 | 3.4014 | 0.1244 | 1.4188 | 19.3028 | 2.7820 | 0.6745 | 4.4217 | 4.6371 | 0.1219 | 1.1058 | 0.2255 | 0.1512 | 6.8477 | 0.2553 | 0.0000 | 3.1738 | 0.0035 | 41.0989 | 0.3797 | 19.3028 | 0.000000 | 0.168056 | 28.2 | 6.2 | 7.200000e+04 | 0.152778 | 0.015278 | % |
| 42 | Dominican Republic | Central America, Caribbean | 3.2100 | 0.1122 | 11.2417 | 0.0006 | 6.9232 | 0.6445 | 0.6059 | 18.4431 | 3.5009 | 0.0906 | 6.1202 | 2.7385 | 0.2567 | 1.1395 | 0.5881 | 0.0260 | 2.0198 | 0.1420 | 0.0000 | 2.1332 | 0.0108 | 38.7577 | 1.2948 | 18.4431 | 0.026676 | 2.115695 | 26.9 | 9.5 | 1.050000e+07 | 1.577705 | 0.511314 | % |
| 43 | Ecuador | South America | 3.2929 | 0.1277 | 15.3469 | 0.0328 | 14.9132 | 0.6902 | 0.6893 | 8.0390 | 4.0115 | 0.1526 | 9.5745 | 2.4981 | 0.2200 | 0.1765 | 0.1570 | 0.0177 | 2.2701 | 0.0071 | 0.0000 | 1.7370 | 0.0160 | 34.6522 | 1.3777 | 8.0390 | 0.085683 | 1.468306 | 19.3 | 7.9 | 1.751100e+07 | 1.198184 | 0.184438 | % |
| 44 | Egypt | Middle East, North Africa, Greater Arabia | 0.0722 | 0.0896 | 6.7374 | 0.0000 | 17.5311 | 0.2307 | 1.5844 | 6.9387 | 1.7583 | 0.0187 | 2.7568 | 10.6559 | 0.3170 | 0.6541 | 0.3063 | 0.0655 | 2.6919 | 0.0863 | 2.0338 | 1.7984 | 0.0268 | 43.2622 | 0.3839 | 6.9387 | 0.009527 | 0.167759 | 31.1 | 4.5 | 1.008030e+08 | 0.131002 | 0.027229 | % |
| 45 | El Salvador | Central America, Caribbean | 2.1651 | 0.1113 | 12.8880 | 0.0000 | 11.7265 | 0.7533 | 0.5730 | 5.9517 | 2.6337 | 0.5920 | 8.7381 | 7.2703 | 0.0794 | 1.4273 | 1.4661 | 0.0121 | 2.2462 | 0.2649 | 0.0000 | 3.5260 | 0.0155 | 37.1029 | 0.4565 | 5.9517 | 0.025814 | 0.867721 | 22.7 | 9 | 6.481000e+06 | 0.778136 | 0.063771 | % |
| 46 | Estonia | Europe | 6.1949 | 0.4556 | 22.3154 | 0.0005 | 6.3498 | 0.6145 | 0.7127 | 3.5061 | 3.0810 | 0.1501 | 17.3068 | 4.9558 | 0.1457 | 0.0518 | 0.1472 | 0.0576 | 3.2403 | 0.2121 | 0.0000 | 2.3886 | 0.0886 | 27.6779 | 0.3472 | 3.5061 | 0.034260 | 3.569647 | 23.8 | 2.9 | 1.331000e+06 | 2.828550 | 0.706837 | % |
| 47 | Eswatini | Sub-Saharan Africa | 6.2239 | 0.1024 | 7.4118 | 0.0019 | 14.7814 | 0.1578 | 0.3643 | 8.5537 | 2.5917 | 0.6695 | 3.9299 | 2.5701 | 0.2620 | 0.3005 | 0.3578 | 0.1615 | 5.3187 | 0.0648 | 0.0000 | 3.1796 | 0.0892 | 42.5816 | 0.3258 | 8.5537 | 0.054710 | 1.465670 | 13.5 | 20.6 | 1.104000e+06 | 1.038859 | 0.372101 | % |
| 48 | Ethiopia | Sub-Saharan Africa | 2.4543 | 0.0276 | 5.2956 | 0.0000 | 22.0779 | 0.0594 | 0.0608 | 1.1774 | 0.7462 | 0.0180 | 4.2647 | 1.8449 | 0.1382 | 0.2322 | 3.0195 | 0.4298 | 11.2918 | 0.2957 | 0.0000 | 1.3170 | 0.0802 | 44.6989 | 0.4699 | 1.1774 | 0.001867 | 0.123093 | 3.6 | 20.6 | 1.149160e+08 | 0.109237 | 0.011989 | % |
| 49 | Fiji | Australia, Oceania | 1.8598 | 0.2922 | 7.8511 | 0.0021 | 10.1440 | 0.2682 | 2.3832 | 2.1636 | 3.0004 | 0.2586 | 1.7421 | 3.9255 | 0.1642 | 4.3799 | 0.7746 | 0.0500 | 7.8599 | 0.1238 | 0.0000 | 9.7259 | 0.0157 | 42.1469 | 0.8683 | 2.1636 | 0.000223 | 0.006250 | 30.0 | 3.7 | 8.960000e+05 | 0.005915 | 0.000112 | % |
| 50 | Finland | Europe | 4.5004 | 0.5190 | 26.8865 | 0.0000 | 5.1978 | 0.3979 | 1.5306 | 3.1864 | 3.4915 | 0.7944 | 20.8378 | 3.8325 | 0.1097 | 0.0883 | 0.0533 | 0.0168 | 2.7671 | 0.5450 | 0.0000 | 1.8388 | 0.0460 | 23.1132 | 0.2468 | 3.1864 | 0.012443 | 0.854802 | 24.9 | <2.5 | 5.529000e+06 | 0.560680 | 0.281678 | % |
| 51 | France | Europe | 4.1631 | 0.7907 | 21.7097 | 0.0011 | 6.9951 | 0.6110 | 1.8214 | 4.8780 | 4.4005 | 0.1918 | 13.7840 | 5.1223 | 0.3010 | 0.1479 | 0.0991 | 0.0164 | 2.6963 | 0.2925 | 0.0000 | 2.6110 | 0.2093 | 28.2903 | 0.8675 | 4.8780 | 0.121558 | 5.199055 | 23.2 | <2.5 | 6.494000e+07 | 0.367877 | 4.709620 | % |
| 52 | French Polynesia | Australia, Oceania | 4.6997 | 0.0309 | 14.3585 | 0.0169 | 7.6479 | 0.5386 | 3.4809 | 4.3512 | 7.0798 | 3.2613 | 2.9364 | 4.0992 | 0.2748 | 3.1818 | 0.1452 | 0.0111 | 3.5436 | 0.1260 | 0.6809 | 2.8715 | 0.0405 | 35.6559 | 0.9675 | 4.3512 | NaN | NaN | NaN | 4.2 | 2.800000e+05 | NaN | NaN | % |
| 53 | Gabon | Sub-Saharan Africa | 6.1881 | 0.0109 | 8.1825 | 0.0000 | 9.1158 | 0.0701 | 2.2578 | 9.0341 | 4.3200 | 0.4751 | 0.9486 | 2.3979 | 0.5758 | 0.8509 | 0.0139 | 0.0015 | 11.8727 | 0.0212 | 0.1248 | 1.2508 | 0.0051 | 41.8004 | 0.4824 | 9.0341 | 0.003182 | 0.513537 | 13.4 | 10.5 | 2.231000e+06 | 0.483953 | 0.026401 | % |
| 54 | Gambia | Sub-Saharan Africa | 2.8419 | 0.0114 | 10.1417 | 0.0000 | 21.8908 | 0.2008 | 3.9197 | 0.8742 | 1.1134 | 0.9824 | 4.8167 | 2.4575 | 0.0812 | 3.1637 | 0.1281 | 0.0043 | 0.8614 | 0.2719 | 0.0000 | 4.1176 | 0.0897 | 39.8291 | 2.2026 | 0.8742 | 0.005544 | 0.175300 | 8.7 | 10.2 | 2.417000e+06 | 0.160778 | 0.008978 | % |
| 55 | Georgia | Europe | 2.5343 | 0.2356 | 15.5347 | 0.0000 | 15.6253 | 0.5032 | 0.6622 | 3.1735 | 2.6217 | 0.7882 | 11.3605 | 4.0993 | 0.1507 | 0.0840 | 0.0025 | 0.0247 | 3.7542 | 0.2397 | 0.0000 | 3.3110 | 0.1631 | 34.4636 | 0.6680 | 3.1735 | 0.087995 | 7.042261 | 23.3 | 7.9 | 3.715000e+06 | 6.805249 | 0.149017 | % |
| 56 | Germany | Europe | 6.7714 | 0.6715 | 20.8485 | 0.0011 | 6.0363 | 0.5947 | 0.6758 | 3.6131 | 4.6524 | 0.0000 | 14.1789 | 5.0542 | 0.0747 | 0.1701 | 0.0419 | 0.0429 | 3.5712 | 0.3493 | 0.0000 | 2.5070 | 0.1903 | 29.1443 | 0.8104 | 3.6131 | 0.073891 | 2.743101 | 25.7 | <2.5 | 8.330000e+07 | 2.451366 | 0.217844 | % |
| 57 | Ghana | Sub-Saharan Africa | 0.9444 | 0.0088 | 2.8956 | 0.0000 | 6.3230 | 0.0705 | 1.4992 | 10.4274 | 0.8069 | 0.1657 | 0.4178 | 1.6849 | 0.0917 | 0.7957 | 0.3920 | 0.2380 | 24.6325 | 0.0053 | 0.2815 | 0.8128 | 0.0364 | 47.1041 | 0.3655 | 10.4274 | 0.001445 | 0.225424 | 9.7 | 5.5 | 3.107300e+07 | 0.204364 | 0.019615 | % |
| 58 | Greece | Europe | 2.2879 | 0.2116 | 17.6914 | 0.0005 | 7.2801 | 0.4539 | 1.0260 | 6.3296 | 3.7836 | 0.0596 | 12.0221 | 7.9134 | 0.1947 | 0.8112 | 0.2539 | 0.0243 | 3.1307 | 0.2560 | 0.0000 | 1.7744 | 0.6676 | 32.3038 | 1.5237 | 6.3296 | 0.055617 | 1.525355 | 27.4 | <2.5 | 1.070000e+07 | 0.876299 | 0.593439 | % |
| 59 | Grenada | Central America, Caribbean | 3.1315 | 0.1276 | 12.1319 | 0.0019 | 7.6569 | 0.9226 | 2.5802 | 11.0608 | 5.6546 | 1.2873 | 2.7183 | 3.6085 | 0.1266 | 1.3768 | 0.6417 | 0.3171 | 2.2222 | 0.1104 | 0.0000 | 5.4480 | 0.0143 | 37.8648 | 0.9959 | 11.0608 | 0.000885 | 0.130973 | 20.2 | NaN | 1.130000e+05 | 0.129204 | 0.000885 | % |
| 60 | Guatemala | Central America, Caribbean | 1.7037 | 0.0957 | 10.3765 | 0.0000 | 15.1579 | 1.4676 | 0.2807 | 6.7124 | 3.9589 | 0.0348 | 4.4093 | 5.7997 | 0.1632 | 0.5276 | 1.6504 | 0.0403 | 1.3316 | 0.2872 | 0.0000 | 5.3058 | 0.1980 | 39.6240 | 0.8747 | 6.7124 | 0.032403 | 0.901899 | 18.8 | 15.2 | 1.806600e+07 | 0.824294 | 0.045201 | % |
| 61 | Guinea | Sub-Saharan Africa | 0.3110 | 0.0213 | 3.8776 | 0.0000 | 17.2911 | 0.1648 | 0.8939 | 7.9395 | 1.1561 | 0.2312 | 1.4724 | 4.4286 | 0.1692 | 0.9506 | 0.3925 | 0.0000 | 11.7958 | 0.1196 | 0.0000 | 1.3368 | 0.0009 | 46.1202 | 1.3271 | 7.9395 | 0.000669 | 0.116760 | 6.6 | 16.5 | 1.256000e+07 | 0.114013 | 0.002078 | % |
| 62 | Guinea-Bissau | Sub-Saharan Africa | 2.4603 | 0.0423 | 4.9295 | 0.0000 | 21.6069 | 0.1038 | 0.1666 | 6.3660 | 2.2155 | 0.5331 | 2.1899 | 2.3642 | 0.2114 | 0.3280 | 0.2499 | 0.0013 | 8.1087 | 0.0167 | 0.0000 | 0.7893 | 0.4485 | 45.0666 | 1.8016 | 6.3660 | 0.002387 | 0.143851 | 8.2 | 28 | 1.927000e+06 | 0.125947 | 0.015516 | % |
| 63 | Guyana | South America | 1.8708 | 0.0206 | 9.1155 | 0.0000 | 9.7847 | 0.1038 | 1.7011 | 5.7954 | 2.5237 | 0.3516 | 4.7277 | 15.2061 | 0.0385 | 1.8367 | 0.3907 | 0.1942 | 1.8384 | 0.0742 | 0.0000 | 3.2325 | 0.0435 | 40.8722 | 0.2779 | 5.7954 | 0.022872 | 1.008767 | 19.2 | 8.1 | 7.870000e+05 | 0.884625 | 0.101271 | % |
| 64 | Haiti | Central America, Caribbean | 1.2733 | 0.0402 | 3.5986 | 0.0000 | 13.4196 | 0.0525 | 0.5064 | 12.0278 | 1.9687 | 0.3309 | 0.8765 | 2.0302 | 0.1532 | 0.4829 | 2.0067 | 0.0022 | 11.4800 | 0.3801 | 0.0000 | 2.0961 | 0.0000 | 46.3997 | 0.8742 | 12.0278 | 0.002149 | 0.103113 | 20.5 | 49.3 | 1.140300e+07 | 0.080295 | 0.020670 | % |
| 65 | Honduras | Central America, Caribbean | 2.0662 | 0.1378 | 13.6048 | 0.0000 | 14.1699 | 0.4601 | 0.3339 | 6.8464 | 3.5080 | 0.6923 | 9.0154 | 2.6599 | 0.1505 | 0.1749 | 1.3962 | 0.0138 | 0.6796 | 0.4686 | 0.0000 | 5.9591 | 0.0276 | 36.3883 | 1.2467 | 6.8464 | 0.037612 | 1.560270 | 19.4 | 12.9 | 9.864000e+06 | 0.626369 | 0.896290 | % |
| 66 | Hungary | Europe | 6.7533 | 1.0595 | 20.0268 | 0.0007 | 7.5908 | 0.8885 | 0.4113 | 3.0852 | 5.2042 | 0.0039 | 12.4568 | 5.6788 | 0.0052 | 0.0679 | 0.1906 | 0.1802 | 3.0460 | 0.1031 | 0.0000 | 2.5433 | 0.0183 | 29.9644 | 0.7214 | 3.0852 | 0.133367 | 3.840739 | 28.6 | <2.5 | 9.767000e+06 | 2.845797 | 0.861575 | % |
| 67 | Iceland | Europe | 4.7545 | 0.9461 | 23.9700 | 0.0025 | 4.1196 | 0.5557 | 4.6117 | 4.8405 | 4.6269 | 1.4022 | 13.0028 | 3.6874 | 0.2232 | 0.1759 | 0.0376 | 0.0676 | 1.9909 | 0.4626 | 0.0000 | 3.9472 | 0.0752 | 26.0331 | 0.4667 | 4.8405 | 0.007880 | 1.636141 | 23.1 | <2.5 | 3.680000e+05 | 1.619293 | 0.008967 | % |
| 68 | India | Asia | 0.1959 | 0.0028 | 11.3357 | 0.0000 | 17.3821 | 0.3061 | 0.6499 | 5.4333 | 0.3560 | 0.0000 | 9.9889 | 7.5213 | 0.0311 | 0.7280 | 1.5709 | 0.3268 | 2.7906 | 0.0753 | 0.0000 | 1.7471 | 0.1526 | 38.6568 | 0.7487 | 5.4333 | 0.011070 | 0.773256 | 3.8 | 14.5 | 1.400100e+09 | 0.751561 | 0.010625 | % |
| 69 | Indonesia | Asia | 0.0794 | 0.0309 | 6.2575 | 0.0009 | 24.3918 | 0.4911 | 3.9386 | 5.5134 | 1.0316 | 0.0026 | 0.5943 | 3.8558 | 0.1702 | 2.2113 | 0.0988 | 0.1508 | 4.6343 | 0.0406 | 0.0000 | 1.8481 | 0.0564 | 43.7438 | 0.8579 | 5.5134 | 0.011553 | 0.422100 | 6.9 | 8.3 | 2.717390e+08 | 0.345620 | 0.064927 | % |
| 70 | Iran (Islamic Republic of) | Middle East, North Africa, Greater Arabia | 0.0007 | 0.5369 | 7.9295 | 0.0020 | 14.0141 | 0.4916 | 0.7813 | 7.9235 | 2.3965 | 0.0007 | 3.5808 | 12.5207 | 0.1405 | 0.0540 | 0.4729 | 0.0559 | 3.2877 | 0.1299 | 0.0000 | 2.1980 | 0.6421 | 42.0701 | 0.7706 | 7.9235 | 0.069414 | 1.734248 | 25.5 | 4.9 | 8.415000e+07 | 1.482322 | 0.182512 | % |
| 71 | Iraq | Middle East, North Africa, Greater Arabia | 0.1915 | 0.0423 | 6.2809 | 0.0000 | 24.0855 | 1.2467 | 0.4450 | 6.4975 | 2.5171 | 0.3975 | 1.9902 | 4.9563 | 0.0396 | 0.3037 | 0.4807 | 0.0304 | 1.0842 | 0.1783 | 0.0000 | 3.3755 | 0.1268 | 43.7165 | 2.0139 | 6.4975 | 0.033004 | 1.579398 | 27.4 | 29 | 3.972500e+07 | 1.508287 | 0.038107 | % |
| 72 | Ireland | Europe | 7.5703 | 0.8710 | 18.5712 | 0.0005 | 6.3057 | 0.4653 | 1.1942 | 3.3996 | 4.0102 | 0.2951 | 11.9469 | 4.9510 | 0.0831 | 0.1733 | 0.1325 | 0.0362 | 3.5362 | 0.1855 | 0.0000 | 4.0147 | 0.0836 | 31.4242 | 0.7497 | 3.3996 | 0.073436 | 4.048531 | 26.9 | <2.5 | 5.003000e+06 | 0.467000 | 3.508095 | % |
| 73 | Israel | Middle East, North Africa, Greater Arabia | 1.2876 | 0.1026 | 18.7463 | 0.0017 | 7.6277 | 0.5664 | 1.4696 | 6.3746 | 5.5003 | 0.2602 | 10.9066 | 8.8586 | 0.2007 | 0.5233 | 0.3640 | 0.0278 | 1.9975 | 0.2619 | 0.0000 | 1.7747 | 0.2262 | 31.2472 | 1.6743 | 6.3746 | 0.055024 | 7.439052 | 26.7 | <2.5 | 9.216000e+06 | 6.609635 | 0.774392 | % |
| 74 | Italy | Europe | 3.1892 | 0.2834 | 19.0329 | 0.0005 | 8.5417 | 0.6247 | 1.5816 | 6.0207 | 4.2963 | 0.0403 | 12.1258 | 6.9463 | 0.1194 | 0.1836 | 0.2781 | 0.0064 | 1.9043 | 0.2946 | 0.0000 | 1.7175 | 0.4230 | 30.9671 | 1.4224 | 6.0207 | 0.150927 | 4.353685 | 22.9 | <2.5 | 6.029600e+07 | 3.494529 | 0.708229 | % |
| 75 | Jamaica | Central America, Caribbean | 2.4636 | 0.2074 | 11.9958 | 0.0074 | 8.5031 | 0.1457 | 1.8692 | 8.0661 | 4.3372 | 0.6952 | 5.2170 | 6.4772 | 0.2111 | 0.9990 | 0.2177 | 0.3752 | 4.5837 | 0.1677 | 0.0000 | 4.6889 | 0.0110 | 38.0023 | 0.7584 | 8.0661 | 0.012709 | 0.599537 | 24.4 | 8 | 2.809000e+06 | 0.435208 | 0.151620 | % |
| 76 | Japan | Asia | 4.0440 | 0.0751 | 15.3194 | 0.1088 | 12.1692 | 1.6960 | 3.9283 | 2.8618 | 4.2599 | 0.2962 | 5.0630 | 7.8669 | 0.1883 | 0.7737 | 0.1287 | 0.1036 | 2.2072 | 0.3731 | 0.2280 | 2.2055 | 0.0812 | 34.6776 | 1.3445 | 2.8618 | 0.005059 | 0.320821 | 4.4 | <2.5 | 1.259670e+08 | 0.284770 | 0.030991 | % |
| 77 | Jordan | Middle East, North Africa, Greater Arabia | 0.0846 | 0.1162 | 9.3186 | 0.0000 | 14.1380 | 0.3344 | 0.5985 | 4.6624 | 3.8651 | 0.3579 | 4.2637 | 10.6308 | 0.1397 | 0.7280 | 0.6393 | 0.0469 | 2.1431 | 0.3742 | 0.0000 | 4.7276 | 0.1652 | 40.6798 | 1.9861 | 4.6624 | 0.040912 | 3.126276 | 33.4 | 12.2 | 1.067900e+07 | 2.991760 | 0.093604 | % |
| 78 | Kazakhstan | Asia | 2.1919 | 0.3611 | 19.1598 | 0.0000 | 6.5119 | 0.4584 | 0.2393 | 3.2145 | 3.4501 | 0.2967 | 14.3591 | 10.2055 | 0.2914 | 0.1154 | 0.0255 | 0.0106 | 5.4755 | 0.1319 | 0.0000 | 1.4560 | 0.0845 | 30.8394 | 1.1215 | 3.2145 | 0.016651 | 1.299402 | 21.3 | <2.5 | 1.873200e+07 | 1.137764 | 0.144987 | % |
| 79 | Kenya | Sub-Saharan Africa | 1.9664 | 0.1175 | 11.4394 | 0.0000 | 15.1221 | 0.1447 | 0.4329 | 4.6941 | 1.7336 | 0.0250 | 8.7987 | 4.3450 | 0.2110 | 0.2686 | 1.7510 | 0.0174 | 7.5828 | 0.2230 | 0.0000 | 1.8098 | 0.0892 | 38.5589 | 0.6689 | 4.6941 | 0.003318 | 0.189975 | 6.0 | 29.4 | 5.352800e+07 | 0.157491 | 0.029166 | % |
| 80 | Kiribati | Australia, Oceania | 0.2970 | 0.0486 | 8.8958 | 0.0000 | 8.2747 | 0.1640 | 6.1065 | 5.8907 | 2.3856 | 0.5104 | 0.1561 | 4.1389 | 0.0350 | 9.9946 | 0.0032 | 0.0064 | 7.1830 | 0.0311 | 0.0000 | 4.1373 | 0.1951 | 41.1042 | 0.4419 | 5.8907 | NaN | NaN | 45.6 | 2.7 | 1.250000e+05 | NaN | NaN | % |
| 81 | Korea, North | Asia | 0.8981 | 0.0010 | 3.3933 | 0.0010 | 17.9378 | 0.4668 | 1.1568 | 6.1383 | 1.3872 | 0.0690 | 0.3146 | 12.8082 | 0.0660 | 0.2090 | 1.1000 | 0.0000 | 6.2438 | 0.0142 | 0.0000 | 0.3694 | 0.0426 | 46.6046 | 0.7783 | 6.1383 | NaN | NaN | 7.1 | 47.8 | 2.577900e+07 | NaN | NaN | % |
| 82 | Korea, South | Asia | 4.8669 | 0.2553 | 11.8174 | 1.6794 | 11.7286 | 0.6414 | 3.4396 | 3.6993 | 4.4239 | 0.0000 | 1.1394 | 12.3349 | 0.2378 | 0.5632 | 0.0720 | 0.0288 | 0.9799 | 0.0945 | 0.0006 | 2.4835 | 0.1664 | 38.1810 | 1.1663 | 3.6993 | 0.002841 | 0.156227 | 4.9 | <2.5 | 5.178100e+07 | 0.136855 | 0.016531 | % |
| 83 | Kuwait | Middle East, North Africa, Greater Arabia | 0.0044 | 0.0022 | 10.7213 | 0.0022 | 11.4132 | 1.3306 | 0.8343 | 5.3058 | 4.8770 | 0.8554 | 3.4788 | 12.9953 | 0.1969 | 0.2783 | 0.4353 | 0.2020 | 3.2296 | 0.2696 | 0.0276 | 2.9163 | 0.1512 | 39.2750 | 1.1976 | 5.3058 | 0.020550 | 3.624728 | 37.0 | 2.8 | 4.691000e+06 | 3.434087 | 0.170092 | % |
| 84 | Kyrgyzstan | Asia | 0.6313 | 0.1910 | 15.4588 | 0.0000 | 10.1059 | 0.2653 | 0.0700 | 2.2846 | 1.8707 | 0.2076 | 12.8008 | 11.3219 | 0.2604 | 0.0098 | 0.3439 | 0.0197 | 5.8068 | 0.0608 | 0.0000 | 3.2495 | 0.1449 | 34.5412 | 0.3550 | 2.2846 | 0.021580 | 1.288929 | 15.4 | 7.1 | 6.594000e+06 | 1.236609 | 0.030740 | % |
| 85 | Lao People's Democratic Republic | Asia | 0.7883 | 0.0979 | 3.6579 | 0.0006 | 16.3943 | 0.1063 | 1.4213 | 8.8158 | 1.7111 | 0.3404 | 0.1632 | 11.6410 | 0.1581 | 0.3584 | 0.1485 | 0.1317 | 3.4835 | 0.9869 | 1.9254 | 1.1101 | 0.0028 | 46.3416 | 0.2149 | 8.8158 | 0.000000 | 0.000621 | 4.5 | 16.5 | 7.242000e+06 | 0.000566 | 0.000055 | % |
| 86 | Latvia | Europe | 5.4573 | 1.1805 | 18.8216 | 0.0005 | 6.3952 | 0.6645 | 1.3226 | 2.5738 | 3.6559 | 0.2596 | 11.8285 | 6.1946 | 0.1686 | 0.1107 | 0.0032 | 0.0122 | 6.5835 | 0.1963 | 0.0000 | 2.6169 | 0.0793 | 31.1757 | 0.6990 | 2.5738 | 0.069769 | 3.749737 | 25.7 | <2.5 | 1.902000e+06 | 3.122976 | 0.556993 | % |
| 87 | Lebanon | Middle East, North Africa, Greater Arabia | 0.7164 | 0.0796 | 8.0679 | 0.0000 | 11.8253 | 0.1730 | 0.7091 | 6.9852 | 1.9469 | 0.0747 | 5.0748 | 10.5128 | 0.0853 | 0.5052 | 0.5011 | 0.0406 | 3.2676 | 0.3647 | 0.0000 | 5.1366 | 0.5271 | 41.9252 | 1.4807 | 6.9852 | 0.052190 | 4.656938 | 31.3 | 11 | 6.825000e+06 | 2.947062 | 1.657685 | % |
| 88 | Lesotho | Sub-Saharan Africa | 3.4135 | 0.0233 | 6.0914 | 0.0000 | 23.4645 | 0.1204 | 0.2383 | 1.8065 | 2.5290 | 0.3898 | 2.7893 | 3.3721 | 0.3924 | 0.0725 | 1.1603 | 0.1165 | 7.1935 | 0.0363 | 0.0000 | 2.2079 | 0.0052 | 43.8988 | 0.6786 | 1.8065 | 0.008543 | 0.437908 | 13.5 | 13.1 | 2.142000e+06 | 0.126331 | 0.303035 | % |
| 89 | Liberia | Sub-Saharan Africa | 1.0338 | 0.0264 | 3.7603 | 0.0000 | 16.1465 | 0.1598 | 0.7764 | 5.3606 | 2.4123 | 0.2997 | 0.1545 | 3.1728 | 0.2311 | 0.4159 | 0.0977 | 0.0013 | 15.3608 | 0.0132 | 1.1804 | 1.1236 | 0.0779 | 46.2383 | 1.9567 | 5.3606 | 0.001661 | 0.038671 | 8.6 | 37.2 | 5.058000e+06 | 0.034994 | 0.002017 | % |
| 90 | Lithuania | Europe | 5.5419 | 0.5316 | 23.0490 | 0.0009 | 6.4732 | 0.7000 | 1.5431 | 2.4007 | 3.7899 | 0.0126 | 16.3529 | 4.4045 | 0.1301 | 0.0867 | 0.4388 | 0.0546 | 2.2766 | 0.2164 | 0.0000 | 4.5020 | 0.0550 | 26.9471 | 0.4924 | 2.4007 | 0.104760 | 6.667072 | 28.4 | <2.5 | 2.794000e+06 | 4.939621 | 1.622691 | % |
| 91 | Luxembourg | Europe | 8.0858 | 0.5443 | 14.6038 | 0.0051 | 5.1366 | 0.7875 | 1.6249 | 4.4841 | 4.0469 | 0.3877 | 7.4929 | 4.8536 | 0.1036 | 0.1658 | 0.0399 | 0.0586 | 2.2067 | 1.2823 | 0.0000 | 8.1121 | 0.0308 | 35.3838 | 0.5630 | 4.4841 | 0.093354 | 8.150633 | 24.2 | <2.5 | 6.320000e+05 | 7.661551 | 0.395728 | % |
| 92 | Madagascar | Sub-Saharan Africa | 0.7972 | 0.0415 | 4.9125 | 0.0024 | 19.9604 | 0.0770 | 0.6267 | 5.0701 | 1.4618 | 0.0782 | 2.5031 | 1.8871 | 0.2002 | 0.1848 | 0.3708 | 0.0486 | 14.4675 | 0.2085 | 0.5852 | 1.0922 | 0.0261 | 45.0869 | 0.3115 | 5.0701 | 0.001015 | 0.068849 | 4.5 | 44.4 | 2.769100e+07 | 0.065779 | 0.002055 | % |
| 93 | Malawi | Sub-Saharan Africa | 1.1827 | 0.0814 | 2.7754 | 0.0000 | 10.6197 | 0.0829 | 0.6970 | 8.4723 | 1.4923 | 0.0396 | 0.2524 | 3.9786 | 0.1695 | 0.5436 | 1.1841 | 0.0139 | 20.2901 | 0.0389 | 0.0000 | 0.6412 | 0.0161 | 47.2242 | 0.2040 | 8.4723 | 0.004375 | 0.140486 | 4.7 | 17.5 | 1.913000e+07 | 0.059320 | 0.076790 | % |
| 94 | Malaysia | Asia | 0.8948 | 0.0882 | 12.6354 | 0.0204 | 17.3088 | 1.6596 | 5.3482 | 4.1713 | 4.9092 | 0.1541 | 0.5300 | 6.1678 | 0.0789 | 0.5801 | 0.2617 | 0.4502 | 1.6568 | 0.1012 | 0.0000 | 3.9030 | 0.0835 | 37.3632 | 1.6336 | 4.1713 | 0.002614 | 0.728230 | 15.3 | 2.5 | 3.278100e+07 | 0.570361 | 0.155255 | % |
| 95 | Maldives | Asia | 0.6859 | 0.0029 | 14.2704 | 0.0068 | 11.5385 | 1.1422 | 8.7959 | 6.0777 | 2.0051 | 3.0315 | 2.3155 | 7.7180 | 0.0019 | 0.2082 | 0.0808 | 0.3434 | 1.6403 | 0.3960 | 0.1002 | 2.9790 | 0.7569 | 35.7208 | 0.1819 | 6.0777 | 0.009982 | 3.078743 | 7.9 | 10.3 | 5.410000e+05 | 2.690573 | 0.378189 | % |
| 96 | Mali | Sub-Saharan Africa | 2.8904 | 0.0444 | 10.1637 | 0.0000 | 19.8566 | 0.0573 | 0.7543 | 3.8991 | 1.9124 | 0.1841 | 7.1206 | 7.2943 | 0.2746 | 0.4910 | 0.7955 | 0.0638 | 2.6772 | 0.0614 | 0.0000 | 0.8811 | 0.2374 | 39.8262 | 0.5144 | 3.8991 | 0.001669 | 0.040294 | 7.1 | 6.3 | 2.025100e+07 | 0.029895 | 0.008730 | % |
| 97 | Malta | Europe | 3.9051 | 0.2062 | 13.6092 | 0.0017 | 7.8996 | 0.6714 | 1.7922 | 4.6310 | 4.6096 | 0.0315 | 6.2546 | 11.2856 | 0.0747 | 0.2899 | 0.2197 | 0.0331 | 2.0590 | 0.2101 | 0.0000 | 5.2164 | 0.1236 | 36.3899 | 0.4860 | 4.6310 | 0.053448 | 3.558621 | 31.0 | <2.5 | 5.220000e+05 | 3.045211 | 0.459962 | % |
| 98 | Mauritania | Sub-Saharan Africa | 0.0055 | 0.1127 | 15.0193 | 0.0000 | 20.4873 | 0.2539 | 1.0025 | 1.2991 | 3.3994 | 0.7519 | 9.8250 | 3.9784 | 0.4279 | 0.0799 | 1.0999 | 0.0066 | 1.0168 | 0.3677 | 0.0000 | 4.3166 | 0.0000 | 34.9779 | 1.5716 | 1.2991 | 0.009140 | 0.361118 | 11.3 | 10.4 | 4.650000e+06 | 0.343763 | 0.008215 | % |
| 99 | Mauritius | Sub-Saharan Africa | 3.0805 | 0.0074 | 9.2700 | 0.0102 | 17.1855 | 0.5910 | 2.1303 | 3.5680 | 4.6992 | 1.0545 | 1.7166 | 6.7122 | 0.1173 | 0.4479 | 0.8560 | 0.1847 | 1.8348 | 0.1625 | 0.0000 | 3.5680 | 0.0369 | 40.7175 | 2.0490 | 3.5680 | 0.000791 | 0.046166 | 11.5 | 6.5 | 1.265000e+06 | 0.042688 | 0.002688 | % |
| 100 | Mexico | North America | 4.4105 | 0.1672 | 15.1527 | 0.0201 | 11.4325 | 1.2967 | 0.9656 | 7.6794 | 4.3561 | 0.0275 | 7.9917 | 5.0713 | 0.3552 | 0.1947 | 0.7071 | 0.1121 | 1.1644 | 0.0248 | 0.0000 | 3.2266 | 0.1121 | 34.8456 | 0.6856 | 7.6794 | 0.129731 | 1.507199 | 28.4 | 3.6 | 1.277920e+08 | 1.159805 | 0.217663 | % |
| 101 | Mongolia | Asia | 3.1430 | 0.3846 | 25.8904 | 0.0000 | 10.1415 | 0.3727 | 0.0440 | 1.0413 | 8.0929 | 0.5962 | 15.8560 | 4.3326 | 1.1411 | 0.0266 | 0.0366 | 0.0037 | 2.6155 | 0.1401 | 0.0000 | 1.4680 | 0.0137 | 24.1046 | 0.5550 | 1.0413 | 0.000060 | 0.060190 | 19.6 | 13.4 | 3.361000e+06 | 0.043112 | 0.017019 | % |
| 102 | Montenegro | Europe | 2.2188 | 0.2067 | 22.8328 | 0.0014 | 5.0447 | 0.5542 | 0.6472 | 5.7297 | 3.3604 | 0.8470 | 17.9487 | 5.0001 | 0.1132 | 0.0865 | 0.2113 | 0.0175 | 1.1955 | 0.2605 | 0.0000 | 6.0418 | 0.0948 | 27.1612 | 0.4258 | 5.7297 | 0.134405 | 10.408199 | 24.9 | <2.5 | 6.220000e+05 | 9.039871 | 1.233923 | % |
| 103 | Morocco | Middle East, North Africa, Greater Arabia | 0.2870 | 0.1449 | 8.4754 | 0.0000 | 18.7029 | 0.4848 | 1.3901 | 7.2110 | 2.5074 | 0.0079 | 3.7540 | 7.2860 | 0.1949 | 0.1892 | 0.3306 | 0.1185 | 3.4356 | 0.2042 | 0.0000 | 2.6816 | 0.2549 | 41.5224 | 0.8168 | 7.2110 | 0.023312 | 1.321111 | 25.6 | 3.4 | 3.595200e+07 | 1.262575 | 0.035225 | % |
| 104 | Mozambique | Sub-Saharan Africa | 1.2195 | 0.0297 | 4.0111 | 0.0000 | 13.1904 | 0.1932 | 1.1353 | 2.8312 | 0.9302 | 0.1565 | 1.6385 | 2.7738 | 0.0852 | 0.1258 | 1.2809 | 0.0040 | 22.2864 | 0.1050 | 0.0000 | 1.0649 | 0.2011 | 45.9864 | 0.7509 | 2.8312 | 0.001447 | 0.141539 | 6.0 | 27.9 | 3.116600e+07 | 0.085959 | 0.054133 | % |
| 105 | Myanmar | Asia | 0.2195 | 0.1751 | 13.5188 | 0.0034 | 16.7608 | 0.4613 | 4.0424 | 4.0287 | 4.9753 | 0.3391 | 3.6306 | 7.0725 | 0.2298 | 1.1003 | 1.2806 | 0.2170 | 1.4514 | 0.2298 | 0.0000 | 2.8592 | 0.2913 | 36.4807 | 0.6322 | 4.0287 | NaN | NaN | 5.7 | 10.6 | 5.470400e+07 | NaN | NaN | % |
| 106 | Namibia | Sub-Saharan Africa | 5.4716 | 0.1134 | 9.6094 | 0.0053 | 9.9189 | 0.1196 | 1.0164 | 3.1266 | 2.6844 | 0.7228 | 5.4479 | 2.3626 | 0.2207 | 0.0818 | 0.7298 | 0.1266 | 12.8231 | 0.0888 | 0.0009 | 3.9848 | 0.0114 | 40.3800 | 0.9531 | 3.1266 | 0.014601 | 1.371271 | 15.0 | 27.3 | 2.541000e+06 | 1.312830 | 0.043841 | % |
| 107 | Nepal | Asia | 0.3318 | 0.0312 | 5.4355 | 0.0000 | 18.1511 | 0.1435 | 0.2050 | 4.7443 | 0.9817 | 0.0594 | 3.9212 | 9.2770 | 0.1536 | 0.0594 | 0.9107 | 0.4195 | 6.0521 | 0.0319 | 3.0677 | 0.5470 | 0.0978 | 44.5576 | 0.8209 | 4.7443 | 0.006784 | 0.906141 | 3.8 | 8.7 | 2.999600e+07 | 0.892826 | 0.006531 | % |
| 108 | Netherlands | Europe | 4.3903 | 0.3343 | 24.2977 | 0.0111 | 4.9685 | 0.7470 | 1.1517 | 4.9230 | 4.0105 | 0.0000 | 18.0051 | 3.2587 | 0.0397 | 0.1111 | 0.0852 | 0.0640 | 4.2639 | 0.2904 | 0.0000 | 2.3446 | 0.1587 | 25.6959 | 0.8485 | 4.9230 | 0.082830 | 5.815292 | 23.1 | <2.5 | 1.746700e+07 | 0.076063 | 5.656398 | % |
| 109 | New Caledonia | Australia, Oceania | 5.0363 | 0.0821 | 11.7818 | 0.0804 | 8.5840 | 0.7494 | 2.0361 | 5.5855 | 5.8687 | 3.6589 | 2.7675 | 5.5941 | 0.1993 | 2.2961 | 0.1275 | 0.0488 | 2.5648 | 0.1745 | 0.0000 | 3.1901 | 0.0376 | 38.2208 | 1.3157 | 5.5855 | NaN | NaN | NaN | 7.1 | 2.950000e+05 | NaN | NaN | % |
| 110 | New Zealand | Australia, Oceania | 5.2220 | 0.7446 | 17.5777 | 0.0170 | 7.7522 | 0.7067 | 1.6771 | 4.0202 | 6.8421 | 0.0000 | 7.4627 | 6.6889 | 0.1275 | 0.3296 | 0.2414 | 0.0495 | 3.3719 | 0.2374 | 0.0109 | 3.8188 | 0.1499 | 32.4155 | 0.5364 | 4.0202 | 0.000501 | 0.046521 | 32.0 | <2.5 | 4.987000e+06 | 0.044696 | 0.001323 | % |
| 111 | Nicaragua | Central America, Caribbean | 1.7194 | 0.0836 | 13.1538 | 0.0030 | 16.8052 | 0.5490 | 0.6557 | 3.8377 | 3.1044 | 0.6658 | 8.5527 | 3.5808 | 0.2055 | 0.3354 | 1.3618 | 0.0060 | 1.9118 | 0.0050 | 0.0000 | 5.7021 | 0.0030 | 36.8356 | 0.9227 | 3.8377 | 0.002577 | 0.095497 | 21.8 | 17 | 6.596000e+06 | 0.064054 | 0.028866 | % |
| 112 | Niger | Sub-Saharan Africa | 0.0558 | 0.1185 | 7.2385 | 0.0000 | 22.2843 | 0.0239 | 0.2022 | 2.5503 | 1.2702 | 0.0687 | 5.4224 | 10.6117 | 0.2022 | 1.4804 | 3.4838 | 0.0807 | 1.3489 | 0.0349 | 0.0000 | 0.3666 | 0.0000 | 42.7585 | 0.3975 | 2.5503 | 0.000682 | 0.019009 | 4.7 | 16.5 | 2.418900e+07 | 0.016330 | 0.001997 | % |
| 113 | Nigeria | Sub-Saharan Africa | 4.0037 | 0.0151 | 1.7391 | 0.0000 | 10.9220 | 0.1976 | 0.7239 | 4.4268 | 0.5675 | 0.0437 | 0.1730 | 6.2627 | 0.0627 | 0.4763 | 0.8311 | 0.1715 | 19.5271 | 0.0064 | 0.0000 | 0.6501 | 0.0841 | 48.2585 | 0.8573 | 4.4268 | 0.000799 | 0.067547 | 7.8 | 13.4 | 2.061400e+08 | 0.054602 | 0.012146 | % |
| 114 | North Macedonia | Europe | 1.9045 | 0.3784 | 12.0639 | 0.0000 | 7.3937 | 0.2847 | 0.3507 | 5.0893 | 2.0683 | 0.2959 | 8.8045 | 14.5512 | 0.1773 | 0.3253 | 0.2847 | 0.1288 | 3.6779 | 0.2474 | 0.0000 | 2.9104 | 0.1796 | 37.9330 | 0.9505 | 5.0893 | 0.140192 | 4.548029 | 23.9 | 3.2 | 2.080000e+06 | 4.025721 | 0.382115 | % |
| 115 | Norway | Europe | 3.7939 | 0.6119 | 21.1992 | 0.0005 | 5.9777 | 0.6194 | 2.7466 | 4.2801 | 3.6083 | 3.6634 | 13.5227 | 3.9131 | 0.0893 | 0.3113 | 0.3204 | 0.0235 | 2.8097 | 0.4819 | 0.0000 | 2.2652 | 0.0990 | 28.7933 | 0.8697 | 4.2801 | 0.010804 | 1.200167 | 25.0 | <2.5 | 5.387000e+06 | 0.334101 | 0.855263 | % |
| 116 | Oman | Middle East, North Africa, Greater Arabia | 0.2621 | 0.0571 | 13.5101 | 0.0000 | 9.6835 | 0.5741 | 2.0105 | 9.7870 | 3.0531 | 0.0423 | 7.6265 | 10.8902 | 0.1888 | 0.1338 | 0.2776 | 0.2297 | 1.6984 | 0.1395 | 0.0077 | 2.5903 | 0.0521 | 36.4860 | 0.6995 | 9.7870 | 0.032506 | 2.865288 | 22.9 | 6.8 | 4.713000e+06 | 2.700318 | 0.132463 | % |
| 117 | Pakistan | Middle East, North Africa, Greater Arabia | 0.0085 | 0.0969 | 22.2758 | 0.0011 | 14.6224 | 0.3577 | 0.1831 | 2.4099 | 1.7957 | 0.0117 | 19.6466 | 2.2173 | 0.1969 | 0.3577 | 0.6993 | 0.1618 | 1.8202 | 0.5258 | 1.7915 | 2.6707 | 0.0852 | 27.7226 | 0.3417 | 2.4099 | 0.005416 | 0.250961 | 7.8 | 20.3 | 2.209400e+08 | 0.230941 | 0.014604 | % |
| 118 | Panama | Central America, Caribbean | 6.6254 | 0.2467 | 12.3346 | 0.0031 | 14.2627 | 0.4604 | 1.0050 | 6.6783 | 4.9800 | 0.7431 | 5.3530 | 1.9480 | 0.2873 | 0.4589 | 0.4129 | 0.0153 | 1.3758 | 0.1195 | 0.0000 | 4.2277 | 0.0360 | 37.6619 | 0.7645 | 6.6783 | 0.127364 | 7.622321 | 22.5 | 10 | 4.283000e+06 | 6.773850 | 0.721107 | % |
| 119 | Paraguay | South America | 3.9095 | 0.2191 | 11.2654 | 0.0000 | 7.5639 | 0.9035 | 0.3119 | 5.4532 | 4.0434 | 0.1788 | 5.3208 | 3.7113 | 0.4675 | 0.2745 | 0.6185 | 0.0082 | 12.5302 | 1.0112 | 0.0000 | 2.4084 | 0.0015 | 38.7260 | 1.0733 | 5.4532 | 0.038691 | 1.896664 | 19.0 | 10.7 | 7.255000e+06 | 1.562591 | 0.295382 | % |
| 120 | Peru | South America | 3.8623 | 0.0316 | 8.6638 | 0.0014 | 11.8140 | 0.6431 | 1.7993 | 8.5783 | 1.7540 | 0.0719 | 4.0729 | 4.8044 | 0.3629 | 0.2458 | 0.6367 | 0.0172 | 8.7924 | 0.2501 | 0.0000 | 1.7339 | 0.0230 | 41.3344 | 0.5066 | 8.5783 | 0.127751 | 3.573742 | 19.1 | 9.7 | 3.282400e+07 | 3.310514 | 0.135477 | % |
| 121 | Philippines | Asia | 1.9716 | 0.3074 | 6.7108 | 0.0000 | 20.0498 | 0.3527 | 2.4506 | 8.5466 | 3.2257 | 0.1925 | 0.1045 | 5.4481 | 0.2717 | 0.5425 | 0.1106 | 0.0340 | 2.8773 | 0.5399 | 0.0000 | 2.3774 | 0.1838 | 43.2905 | 0.4119 | 8.5466 | 0.010139 | 0.488699 | 6.0 | 13.3 | 1.095810e+08 | 0.445757 | 0.032803 | % |
| 122 | Poland | Europe | 6.8201 | 0.9842 | 16.5590 | 0.0000 | 7.9033 | 0.3702 | 0.5845 | 3.0079 | 4.8500 | 0.0000 | 9.7542 | 6.8655 | 0.0170 | 0.0798 | 0.1099 | 0.0202 | 5.5631 | 0.1509 | 0.0000 | 2.4775 | 0.0476 | 33.4390 | 0.3959 | 3.0079 | 0.101632 | 4.028175 | 25.6 | <2.5 | 3.836800e+07 | 3.392335 | 0.534208 | % |
| 123 | Portugal | Europe | 4.7147 | 0.4077 | 18.6614 | 0.0005 | 6.2984 | 0.4053 | 2.7295 | 6.5126 | 4.5168 | 0.1393 | 10.3936 | 7.3366 | 0.2079 | 0.0965 | 0.1618 | 0.0173 | 3.1060 | 0.2684 | 0.0000 | 1.7316 | 0.2319 | 31.3374 | 0.7246 | 6.5126 | 0.136070 | 7.429605 | 23.2 | <2.5 | 1.025500e+07 | 5.846836 | 1.446699 | % |
| 124 | Republic of Moldova | Europe | 3.8296 | 0.4339 | 16.5343 | 0.0000 | 11.6462 | 0.6795 | 0.9910 | 3.4256 | 3.2622 | 0.5083 | 10.9992 | 6.4285 | 0.1694 | 0.0616 | 0.0642 | 0.0068 | 3.9066 | 0.0830 | 0.0000 | 2.6632 | 0.0180 | 33.4640 | 0.8250 | 3.4256 | 0.099859 | 4.646195 | 20.1 | NaN | 3.535000e+06 | 4.333692 | 0.212645 | % |
| 125 | Romania | Europe | 4.7679 | 0.3474 | 15.9287 | 0.0000 | 8.0412 | 0.6848 | 0.2844 | 4.2115 | 3.0499 | 0.2567 | 11.4018 | 9.3641 | 0.1594 | 0.0974 | 0.1045 | 0.1274 | 4.7130 | 0.1398 | 0.0000 | 1.4126 | 0.1093 | 34.0679 | 0.7301 | 4.2115 | 0.097755 | 3.863328 | 24.5 | <2.5 | 1.924100e+07 | 3.583358 | 0.182215 | % |
| 126 | Russian Federation | Europe | 3.7425 | 0.2486 | 16.1525 | 0.0023 | 8.2803 | 0.9029 | 1.1312 | 3.1620 | 4.3180 | 0.0118 | 9.3253 | 6.3713 | 0.2249 | 0.1319 | 0.1426 | 0.0118 | 6.3194 | 0.1809 | 0.0000 | 4.6144 | 0.0118 | 33.8472 | 0.8663 | 3.1620 | 0.051120 | 2.663104 | 25.7 | <2.5 | 1.467330e+08 | 2.316142 | 0.295842 | % |
| 127 | Rwanda | Sub-Saharan Africa | 1.3631 | 0.0186 | 2.6366 | 0.0000 | 3.5380 | 0.0269 | 0.5279 | 15.7285 | 0.6257 | 0.0283 | 1.3521 | 2.7193 | 0.0855 | 0.2233 | 2.5036 | 0.0179 | 20.4415 | 0.0110 | 0.0000 | 0.5782 | 0.0000 | 47.3634 | 0.2109 | 15.7285 | 0.001675 | 0.126135 | 4.8 | 36.8 | 1.295200e+07 | 0.093013 | 0.031447 | % |
| 128 | Saint Kitts and Nevis | Central America, Caribbean | 4.0867 | 0.1735 | 14.0252 | 0.0000 | 6.3135 | 0.3868 | 3.4174 | 7.5449 | 7.8207 | 1.5442 | 1.8950 | 4.2090 | 0.3318 | 0.9470 | 0.5422 | 0.0901 | 2.7150 | 0.0749 | 0.0000 | 6.4623 | 0.0673 | 35.9677 | 1.3850 | 7.5449 | 0.000000 | 0.074074 | 23.1 | NaN | 5.400000e+04 | 0.066667 | 0.007407 | % |
| 129 | Saint Lucia | Central America, Caribbean | 7.8024 | 0.0252 | 14.8893 | 0.0009 | 7.2091 | 0.3326 | 3.0652 | 5.9453 | 8.1700 | 1.6054 | 2.8881 | 4.1169 | 0.4063 | 0.6274 | 0.5663 | 0.1780 | 2.6427 | 0.0602 | 0.0000 | 3.7043 | 0.0575 | 35.0964 | 0.6103 | 5.9453 | 0.009890 | 0.996154 | 19.8 | NaN | 1.820000e+05 | 0.480769 | 0.505495 | % |
| 130 | Saint Vincent and the Grenadines | Central America, Caribbean | 2.5260 | 0.0220 | 11.0865 | 0.0000 | 9.0142 | 0.3412 | 1.3785 | 10.4710 | 6.9184 | 1.9325 | 2.2593 | 5.1371 | 0.1672 | 0.1049 | 0.6452 | 0.2113 | 4.3734 | 0.2933 | 0.0000 | 3.4592 | 0.0357 | 38.9005 | 0.7227 | 10.4710 | 0.002703 | 1.082883 | 23.8 | 5.7 | 1.110000e+05 | 0.361261 | 0.718919 | % |
| 131 | Samoa | Australia, Oceania | 1.4236 | 0.2262 | 11.1630 | 0.1236 | 3.6768 | 0.1314 | 2.7788 | 10.7845 | 5.7993 | 0.7751 | 1.9647 | 1.1656 | 0.1398 | 10.5187 | 0.0000 | 0.0582 | 7.6944 | 0.1344 | 0.0036 | 2.0811 | 0.0108 | 38.8349 | 0.5117 | 10.7845 | 0.000000 | 0.001000 | 45.5 | 2.7 | 2.000000e+05 | 0.001000 | 0.000000 | % |
| 132 | Sao Tome and Principe | Sub-Saharan Africa | 1.5187 | 0.0220 | 4.1199 | 0.0000 | 7.3796 | 0.0562 | 2.3033 | 18.2736 | 1.2054 | 0.4240 | 0.5152 | 0.8570 | 0.0187 | 9.9865 | 0.3109 | 0.0293 | 3.7154 | 0.0073 | 0.0000 | 2.5939 | 0.0024 | 45.8801 | 0.7805 | 18.2736 | 0.008571 | 0.643333 | 10.6 | 7 | 2.100000e+05 | 0.504762 | 0.130000 | % |
| 133 | Saudi Arabia | Middle East, North Africa, Greater Arabia | 0.0000 | 0.3917 | 12.9962 | 0.0000 | 16.3284 | 0.6003 | 1.0369 | 7.0413 | 4.9529 | 0.6690 | 5.8598 | 5.7024 | 0.1547 | 0.1492 | 0.4768 | 0.2434 | 1.4542 | 0.2050 | 0.0009 | 2.8571 | 0.1135 | 37.0038 | 1.7626 | 7.0413 | 0.018256 | 1.055795 | 35.0 | 7.1 | 3.504100e+07 | 1.030898 | 0.006641 | % |
| 134 | Senegal | Sub-Saharan Africa | 0.3209 | 0.0353 | 5.3434 | 0.0000 | 25.9204 | 0.1878 | 2.0588 | 2.3456 | 1.6081 | 0.0148 | 1.2496 | 7.8951 | 0.2060 | 0.7637 | 0.4712 | 0.0717 | 2.6177 | 0.1161 | 0.0000 | 2.0941 | 0.1047 | 44.6423 | 1.9325 | 2.3456 | 0.004031 | 0.170145 | 7.4 | 11.3 | 1.674400e+07 | 0.139107 | 0.027007 | % |
| 135 | Serbia | Europe | 4.3920 | 0.2524 | 16.7466 | 0.0000 | 9.7485 | 0.6322 | 0.4148 | 5.9753 | 3.5893 | 0.0067 | 11.6190 | 7.3941 | 0.2389 | 0.1322 | 0.1805 | 0.0242 | 2.5450 | 0.2430 | 0.0007 | 2.0255 | 0.1268 | 33.2476 | 0.4644 | 5.9753 | 0.059106 | 5.840908 | 23.5 | 5.7 | 6.957000e+06 | 0.000000 | 5.781803 | % |
| 136 | Sierra Leone | Sub-Saharan Africa | 0.3009 | 0.0067 | 5.6877 | 0.0000 | 19.9349 | 0.1343 | 2.5044 | 3.2119 | 0.7837 | 0.2504 | 2.1711 | 4.5526 | 0.0857 | 0.5999 | 0.8913 | 0.0638 | 12.4228 | 0.0762 | 0.0000 | 0.6323 | 0.1000 | 44.3138 | 1.2760 | 3.2119 | 0.000990 | 0.047286 | 7.5 | 25.6 | 7.977000e+06 | 0.030738 | 0.015557 | % |
| 137 | Slovakia | Europe | 6.1266 | 1.3559 | 18.9841 | 0.0000 | 5.4026 | 0.9390 | 0.7045 | 3.5463 | 4.3096 | 0.0290 | 11.4696 | 4.5601 | 0.2055 | 0.2055 | 0.0973 | 0.0421 | 3.6814 | 0.2513 | 0.0000 | 5.5166 | 0.1118 | 31.0231 | 1.4380 | 3.5463 | 0.094013 | 4.792640 | 22.4 | 3.4 | 5.462000e+06 | 4.361424 | 0.337202 | % |
| 138 | Slovenia | Europe | 4.9933 | 1.1248 | 18.9196 | 0.0005 | 7.6345 | 0.5376 | 0.6515 | 6.4367 | 4.1610 | 0.6133 | 12.2569 | 5.0020 | 0.1879 | 0.1285 | 0.1106 | 0.0561 | 2.6837 | 0.2615 | 0.0000 | 2.4915 | 0.1972 | 31.0774 | 0.4739 | 6.4367 | 0.171755 | 8.235901 | 22.5 | <2.5 | 2.103000e+06 | 7.312934 | 0.751213 | % |
| 139 | Solomon Islands | Australia, Oceania | 0.8298 | 0.1038 | 3.8504 | 0.0121 | 9.0233 | 0.0826 | 2.2840 | 3.2798 | 0.8897 | 0.5585 | 0.4380 | 1.1223 | 0.0394 | 5.0334 | 0.7366 | 0.0364 | 24.2500 | 0.0856 | 0.0000 | 0.8268 | 0.0356 | 46.1492 | 0.3327 | 3.2798 | 0.000000 | 0.002378 | 20.5 | 8.9 | 7.150000e+05 | 0.001399 | 0.000979 | % |
| 140 | South Africa | Sub-Saharan Africa | 6.2658 | 0.0593 | 11.8433 | 0.0009 | 17.1035 | 0.5940 | 0.5365 | 1.9355 | 5.3933 | 0.0009 | 4.8155 | 3.7632 | 0.4448 | 0.2462 | 0.1546 | 0.0539 | 2.8503 | 0.1321 | 0.0000 | 4.4677 | 0.0108 | 38.1554 | 1.1726 | 1.9355 | 0.077447 | 2.471490 | 27.0 | 6.2 | 5.962800e+07 | 2.248100 | 0.145943 | % |
| 141 | Spain | Europe | 5.3152 | 0.2357 | 18.3382 | 0.0011 | 6.0548 | 0.7321 | 2.2646 | 4.8332 | 5.3456 | 0.0000 | 9.5991 | 7.8139 | 0.1605 | 0.2650 | 0.2666 | 0.0069 | 3.0975 | 0.2229 | 0.0000 | 1.8482 | 0.4287 | 31.6581 | 1.5122 | 4.8332 | 0.128867 | 6.176110 | 27.1 | <2.5 | 4.763500e+07 | 0.315684 | 5.731559 | % |
| 142 | Sri Lanka | Asia | 0.6810 | 0.0147 | 5.5328 | 0.0039 | 20.7839 | 0.4178 | 3.0173 | 4.1171 | 0.8845 | 0.0303 | 1.0948 | 4.8753 | 0.0998 | 7.1364 | 0.9608 | 0.5244 | 1.9793 | 0.2818 | 0.0000 | 2.7209 | 0.1350 | 44.4618 | 0.2466 | 4.1171 | 0.001600 | 0.312604 | 5.4 | 9 | 2.193700e+07 | 0.285335 | 0.025669 | % |
| 143 | Sudan | Sub-Saharan Africa | 0.0000 | 0.0958 | 13.1178 | 0.0000 | 12.9192 | 0.1176 | 0.1018 | 7.0919 | 2.1133 | 0.0741 | 10.4116 | 8.3477 | 0.2796 | 0.4920 | 1.0631 | 0.0405 | 1.9167 | 0.1502 | 0.7262 | 3.1231 | 0.0000 | 36.8813 | 0.9366 | 7.0919 | 0.004176 | 0.067582 | 7.4 | 20.1 | 4.384900e+07 | 0.049702 | 0.013704 | % |
| 144 | Suriname | South America | 4.1704 | 0.0438 | 6.7984 | 0.0000 | 13.9476 | 0.5407 | 1.4348 | 8.6872 | 3.6451 | 1.2414 | 1.0789 | 5.3705 | 0.0576 | 0.6757 | 0.1719 | 0.0224 | 2.4553 | 0.0903 | 0.3207 | 4.7051 | 0.0155 | 43.1917 | 1.3351 | 8.6872 | 0.026446 | 1.429752 | 26.5 | 8.5 | 6.050000e+05 | 1.318017 | 0.085289 | % |
| 145 | Sweden | Europe | 4.4232 | 1.0442 | 24.0627 | 0.0000 | 6.1923 | 0.7266 | 1.7659 | 3.5405 | 4.1476 | 0.4623 | 16.3687 | 4.6110 | 0.0086 | 0.1712 | 0.0937 | 0.0484 | 2.8343 | 0.5533 | 0.0000 | 2.5211 | 0.0996 | 25.9282 | 0.3967 | 3.5405 | 0.116749 | 5.666975 | 22.1 | <2.5 | 1.037700e+07 | 0.000000 | 5.550226 | % |
| 146 | Switzerland | Europe | 4.9978 | 0.4802 | 22.4227 | 0.0022 | 5.9818 | 0.5377 | 0.9109 | 4.6041 | 3.6314 | 0.0000 | 16.7060 | 4.9478 | 0.1549 | 0.1124 | 0.0995 | 0.0382 | 2.1542 | 0.3727 | 0.0000 | 2.9737 | 0.2377 | 27.5705 | 1.0637 | 4.6041 | 0.111258 | 6.160215 | 21.2 | <2.5 | 8.634000e+06 | 3.678480 | 2.370477 | % |
| 147 | Taiwan* | Asia | 2.7663 | 0.1577 | 12.1312 | 0.0281 | 10.0808 | 1.0900 | 2.3182 | 8.3904 | 6.0558 | 0.1874 | 2.3299 | 9.1938 | 0.1507 | 1.0736 | 0.2077 | 0.1023 | 0.8565 | 0.1374 | 0.2826 | 2.3455 | 0.4185 | 37.8684 | 1.8271 | 8.3904 | 0.000038 | 0.003914 | NaN | 3.5 | 2.361000e+07 | 0.003571 | 0.000305 | % |
| 148 | Tajikistan | Asia | 0.1423 | 0.0018 | 7.2363 | 0.0000 | 13.3691 | 0.2255 | 0.0342 | 3.7863 | 1.5221 | 0.2089 | 5.2373 | 19.2995 | 0.2144 | 0.1349 | 0.2486 | 0.0305 | 2.9278 | 0.0555 | 0.0000 | 1.6607 | 0.0582 | 42.7642 | 0.8419 | 3.7863 | 0.000955 | 0.141139 | 12.6 | NaN | 9.429000e+06 | 0.140185 | 0.000000 | % |
| 149 | Thailand | Asia | 3.6223 | 0.0902 | 7.7828 | 0.0325 | 17.5571 | 1.1143 | 2.6297 | 8.3291 | 2.4675 | 0.0090 | 1.3279 | 3.5962 | 0.1199 | 1.2775 | 0.2344 | 0.6626 | 1.8887 | 0.1262 | 0.0000 | 4.0424 | 0.0938 | 42.2145 | 0.7816 | 8.3291 | 0.000119 | 0.035126 | 10.8 | 7.8 | 6.653400e+07 | 0.025464 | 0.009544 | % |
| 150 | Timor-Leste | Australia, Oceania | 0.4459 | 0.0897 | 5.4983 | 0.0000 | 26.3320 | 0.1025 | 1.0225 | 2.1027 | 4.0376 | 0.8905 | 0.1307 | 3.1867 | 0.1153 | 0.5612 | 0.9098 | 0.0500 | 5.5022 | 1.0136 | 0.0000 | 2.8203 | 0.0013 | 44.5030 | 0.6842 | 2.1027 | 0.000000 | 0.006070 | 2.9 | 24.9 | 1.318000e+06 | 0.004628 | 0.001442 | % |
| 151 | Togo | Sub-Saharan Africa | 1.0144 | 0.0292 | 3.6702 | 0.0000 | 15.8144 | 0.1067 | 1.3178 | 0.9100 | 1.4133 | 0.7448 | 0.7246 | 2.1637 | 0.0775 | 0.4718 | 1.7626 | 0.0595 | 20.0654 | 0.0843 | 0.0000 | 1.8312 | 0.0000 | 46.3287 | 1.4099 | 0.9100 | 0.000954 | 0.065660 | 7.1 | 16.1 | 8.279000e+06 | 0.054777 | 0.009929 | % |
| 152 | Trinidad and Tobago | Central America, Caribbean | 2.4881 | 0.2804 | 12.7835 | 0.0000 | 13.0903 | 0.4044 | 2.3299 | 4.9733 | 6.7063 | 0.2413 | 2.8789 | 3.5256 | 0.1837 | 1.2016 | 0.8939 | 0.2305 | 3.5148 | 0.0899 | 0.0000 | 5.6200 | 0.0928 | 37.2145 | 1.2563 | 4.9733 | 0.009861 | 0.556026 | 19.7 | 5.5 | 1.369000e+06 | 0.529949 | 0.016216 | % |
| 153 | Tunisia | Middle East, North Africa, Greater Arabia | 0.7037 | 0.2083 | 9.6312 | 0.0000 | 12.0523 | 0.4508 | 0.7615 | 5.4307 | 1.6411 | 0.0116 | 6.4775 | 15.7731 | 0.0926 | 0.2031 | 0.4311 | 0.1065 | 1.7724 | 0.1979 | 0.0000 | 2.0832 | 0.3489 | 40.3673 | 1.2551 | 5.4307 | 0.060205 | 1.817216 | 27.3 | 4.3 | 1.189600e+07 | 1.453304 | 0.303707 | % |
| 154 | Turkey | Middle East, North Africa, Greater Arabia | 0.6474 | 0.1459 | 12.3156 | 0.0000 | 9.7080 | 0.3956 | 0.2582 | 6.8321 | 2.0694 | 0.0101 | 9.3619 | 13.5284 | 0.0857 | 0.2720 | 0.6820 | 0.1251 | 2.4947 | 0.2002 | 0.0000 | 1.7004 | 0.4664 | 37.6836 | 1.0174 | 6.8321 | 0.031868 | 3.015138 | 32.2 | <2.5 | 8.373700e+07 | 2.881050 | 0.102220 | % |
| 155 | Turkmenistan | Asia | 0.5038 | 0.3373 | 16.0611 | 0.0000 | 14.8029 | 0.5139 | 0.2137 | 4.1441 | 4.3767 | 0.2530 | 10.5606 | 10.4014 | 0.0589 | 0.0661 | 0.1032 | 0.0015 | 2.3000 | 0.0945 | 0.0000 | 0.6746 | 0.0283 | 33.9389 | 0.5655 | 4.1441 | NaN | NaN | 17.5 | 5.4 | 6.031000e+06 | NaN | NaN | % |
| 156 | Uganda | Sub-Saharan Africa | 6.1671 | 0.0352 | 5.6473 | 0.0000 | 6.7480 | 0.0815 | 1.0442 | 11.3112 | 0.8978 | 0.0371 | 3.4755 | 2.6703 | 0.1130 | 0.6338 | 2.3942 | 0.0120 | 12.3610 | 0.0130 | 0.0000 | 1.2601 | 0.0000 | 44.3536 | 0.7440 | 11.3112 | 0.000715 | 0.087058 | 4.1 | 41 | 4.574100e+07 | 0.031370 | 0.054973 | % |
| 157 | Ukraine | Europe | 2.6250 | 0.1753 | 13.1214 | 0.0006 | 9.3613 | 0.8434 | 0.6821 | 2.9418 | 2.7425 | 0.0070 | 8.5442 | 9.4361 | 0.1339 | 0.0175 | 0.1099 | 0.0111 | 7.6721 | 0.0883 | 0.0000 | 3.8811 | 0.0807 | 36.8777 | 0.6470 | 2.9418 | 0.059206 | 3.075923 | 26.1 | 3.5 | 4.177800e+07 | 2.653382 | 0.363335 | % |
| 158 | United Arab Emirates | Middle East, North Africa, Greater Arabia | 0.0000 | 0.1896 | 10.5491 | 0.0000 | 12.9060 | 0.5958 | 1.9682 | 8.1938 | 4.9400 | 0.9471 | 2.6468 | 8.2695 | 0.2095 | 0.6133 | 2.1108 | 0.3194 | 0.8937 | 0.1649 | 0.0000 | 3.6576 | 0.5838 | 39.4461 | 0.7949 | 8.1938 | 0.009348 | 3.307445 | 29.9 | 2.6 | 9.778000e+06 | 3.079168 | 0.218930 | % |
| 159 | United Kingdom | Europe | 5.2632 | 0.2754 | 18.8798 | 0.0006 | 6.5412 | 0.6210 | 1.0911 | 4.9551 | 4.4181 | 0.6658 | 12.3684 | 4.5851 | 0.1056 | 0.2240 | 0.2035 | 0.0653 | 5.1133 | 0.2461 | 0.0000 | 2.4383 | 0.0901 | 31.1116 | 0.7372 | 4.9551 | 0.167220 | 5.868483 | 29.5 | <2.5 | 6.716000e+07 | 0.015161 | 5.686102 | % |
| 160 | United Republic of Tanzania | Sub-Saharan Africa | 4.5185 | 0.0403 | 4.8022 | 0.0000 | 10.4453 | 0.0300 | 0.5828 | 6.8147 | 0.7902 | 0.0214 | 3.3606 | 3.9520 | 0.0000 | 1.2839 | 2.1761 | 0.0274 | 13.9370 | 0.0300 | 0.0000 | 1.0345 | 0.0420 | 45.1973 | 0.9136 | 6.8147 | 0.000035 | 0.000852 | 7.1 | 30.7 | 5.973400e+07 | 0.000306 | 0.000511 | % |
| 161 | United States of America | North America | 4.8647 | 0.1681 | 21.2352 | 0.0020 | 5.5048 | 0.7860 | 1.1287 | 4.5432 | 6.2645 | 0.0000 | 12.8657 | 5.7249 | 0.0197 | 0.3246 | 0.1893 | 0.0490 | 2.8390 | 0.2458 | 0.0000 | 3.3200 | 0.1772 | 28.7587 | 0.9889 | 4.5432 | 0.140103 | 8.159922 | 37.3 | <2.5 | 3.298780e+08 | 0.000000 | 8.019819 | % |
| 162 | Uruguay | South America | 3.5664 | 0.2100 | 17.8865 | 0.0000 | 10.2510 | 0.7764 | 0.6058 | 5.3746 | 3.7863 | 0.3918 | 12.3906 | 3.9333 | 0.1168 | 0.2770 | 0.1936 | 0.0144 | 3.0440 | 0.6169 | 0.0000 | 3.4102 | 0.0131 | 32.1076 | 1.0337 | 5.3746 | 0.013622 | 1.269102 | 28.9 | <2.5 | 3.531000e+06 | 1.089465 | 0.166015 | % |
| 163 | Uzbekistan | Asia | 0.6835 | 0.1353 | 14.4463 | 0.0000 | 10.5365 | 0.3566 | 0.1218 | 5.2150 | 1.8621 | 0.0400 | 11.7952 | 14.8354 | 0.1748 | 0.0287 | 0.0022 | 0.0038 | 2.8891 | 0.0644 | 0.0000 | 0.5796 | 0.0649 | 35.5540 | 0.6109 | 5.2150 | 0.001817 | 0.231302 | 15.3 | 6.3 | 3.417400e+07 | 0.226751 | 0.002733 | % |
| 164 | Vanuatu | Australia, Oceania | 0.2424 | 0.0793 | 6.6244 | 0.0000 | 6.4102 | 0.1875 | 2.1649 | 5.8103 | 2.7466 | 0.2882 | 1.2692 | 3.9175 | 0.1776 | 12.1763 | 0.0008 | 0.0374 | 12.7275 | 0.0305 | 0.0000 | 1.3645 | 0.0038 | 43.3737 | 0.3674 | 5.8103 | 0.000000 | 0.000312 | 23.5 | 7.2 | 3.210000e+05 | 0.000312 | 0.000000 | % |
| 165 | Venezuela (Bolivarian Republic of) | South America | 2.5952 | 0.0403 | 14.7565 | 0.0000 | 12.9253 | 0.3389 | 0.9456 | 7.6460 | 3.8328 | 0.0702 | 9.3920 | 4.1474 | 0.2078 | 0.0281 | 0.3342 | 0.0009 | 2.5643 | 0.1479 | 0.0000 | 3.4106 | 0.0009 | 35.2416 | 1.3734 | 7.6460 | 0.004287 | 0.452585 | 25.2 | 21.2 | 2.864500e+07 | 0.424399 | 0.023899 | % |
| 166 | Vietnam | Asia | 1.4591 | 0.1640 | 8.5765 | 0.0042 | 16.8740 | 0.3077 | 2.6392 | 5.9029 | 4.4382 | 0.0126 | 0.6069 | 11.9508 | 0.4149 | 0.8410 | 0.2032 | 0.2074 | 1.0596 | 0.2880 | 0.8150 | 1.2846 | 0.3070 | 41.4232 | 0.2201 | 5.9029 | 0.000036 | 0.002063 | 2.1 | 9.3 | 9.620900e+07 | 0.001526 | 0.000501 | % |
| 167 | Yemen | Middle East, North Africa, Greater Arabia | 0.0364 | 0.0446 | 5.7874 | 0.0000 | 27.2077 | 0.2579 | 0.5240 | 5.1344 | 2.7871 | 0.2033 | 1.8911 | 3.2135 | 0.2827 | 0.0893 | 0.8645 | 0.0347 | 1.0794 | 0.2199 | 0.0000 | 5.0468 | 0.0017 | 44.2126 | 1.0811 | 5.1344 | 0.002062 | 0.007131 | 14.1 | 38.9 | 2.982600e+07 | 0.004788 | 0.000282 | % |
| 168 | Zambia | Sub-Saharan Africa | 5.7360 | 0.0829 | 6.0197 | 0.0000 | 21.1938 | 0.3399 | 1.6924 | 1.0183 | 1.8427 | 0.2149 | 1.7570 | 3.4649 | 0.3048 | 1.8736 | 0.1756 | 0.0478 | 7.9649 | 0.0618 | 0.0000 | 1.5632 | 0.0014 | 43.9789 | 0.6657 | 1.0183 | 0.004564 | 0.334133 | 6.5 | 46.7 | 1.838400e+07 | 0.290524 | 0.039045 | % |
| 169 | Zimbabwe | Sub-Saharan Africa | 4.0552 | 0.0755 | 8.1489 | 0.0000 | 22.6240 | 0.2678 | 0.5518 | 2.2000 | 2.6142 | 0.2012 | 4.4310 | 2.3213 | 0.2086 | 0.4498 | 0.4261 | 0.0252 | 2.9870 | 0.1494 | 0.0000 | 4.6485 | 0.0518 | 41.8526 | 1.7103 | 2.2000 | 0.008854 | 0.232033 | 12.3 | 51.3 | 1.486300e+07 | 0.190964 | 0.032214 | % |
# Let's now produce some violin plots since the preliminaries are over with
regions = regions_covid_df['Region'].unique()
#fig, ax = plt.subplots(figsize = (20,10))
region_data = regions_covid_df[['Country', 'Region', 'Deaths', 'Obesity', 'Meat', 'Pulses', 'Sugar & Sweeteners', 'Vegetables', 'Fruits - Excluding Wine', 'Undernourished', 'Population',
'Confirmed', 'Animal Products', 'Treenuts']]
food_regions_data = food_regions_df[['Country', 'Region', 'Deaths', 'Obesity', 'Meat', 'Pulses', 'Sugar & Sweeteners', 'Vegetables', 'Fruits - Excluding Wine', 'Undernourished', 'Population',
'Confirmed', 'Animal Products', 'Treenuts']]
#ax.violinplot(regions_covid_df['Deaths'], widths = 1, showmeans=True)
#sns.violinplot(x = 'Region', y = 'Deaths', data = region_data, scale = 'count', palette = 'Set2', linewidth = 3)
#ax.set_xlabel("Region", fontsize = 20)
##ax.set_ylabel("Deaths", fontsize = 20)
fig = px.violin(region_data, x = 'Region', y='Deaths', points = 'all', color = 'Region', box = True)
fig.update_layout(
title_text='Covid Death Percentage compared by each region of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
#ax.set_title("Covid Death Percentage compared by each region of the World", fontsize = 20)
Interaction Terms: Region, Covid Deaths, and Obesity
from sklearn.preprocessing import PolynomialFeatures
from sklearn.preprocessing import LabelEncoder
import pandas as pd
import statsmodels.formula.api as smf
# Allow for the region variable to be treated categorically by encoding categorical variables without affecting model
# The : says that we have a possible interaction between Region and Obesity that we would like to explore and that
# Covid Deaths are different based on Obesity from different regions
model = smf.ols(formula='Deaths ~ Obesity + C(Region) + C(Region):Obesity', data=region_data).fit()
summary = model.summary()
print(summary)
print("\n" + "Parameters:", model.params)
print("\n" + "R-Squared: ", model.rsquared)
OLS Regression Results
==============================================================================
Dep. Variable: Deaths R-squared: 0.615
Model: OLS Adj. R-squared: 0.576
Method: Least Squares F-statistic: 15.68
Date: Tue, 14 Dec 2021 Prob (F-statistic): 1.41e-23
Time: 17:13:15 Log-Likelihood: 339.46
No. Observations: 163 AIC: -646.9
Df Residuals: 147 BIC: -597.4
Df Model: 15
Covariance Type: nonrobust
==================================================================================================================================
coef std err t P>|t| [0.025 0.975]
----------------------------------------------------------------------------------------------------------------------------------
Intercept 0.0030 0.013 0.230 0.818 -0.023 0.028
C(Region)[T.Australia, Oceania] -0.0028 0.032 -0.089 0.929 -0.065 0.060
C(Region)[T.Central America, Caribbean] 0.0070 0.050 0.141 0.888 -0.092 0.106
C(Region)[T.Europe] 0.0742 0.048 1.543 0.125 -0.021 0.169
C(Region)[T.Middle East, North Africa, Greater Arabia] 0.0043 0.027 0.163 0.871 -0.048 0.057
C(Region)[T.North America] 0.0034 0.161 0.021 0.983 -0.316 0.323
C(Region)[T.South America] 0.1148 0.055 2.088 0.039 0.006 0.223
C(Region)[T.Sub-Saharan Africa] -0.0185 0.017 -1.071 0.286 -0.053 0.016
Obesity 0.0003 0.001 0.226 0.822 -0.002 0.003
C(Region)[T.Australia, Oceania]:Obesity -0.0003 0.002 -0.165 0.869 -0.003 0.003
C(Region)[T.Central America, Caribbean]:Obesity 0.0003 0.002 0.131 0.896 -0.004 0.005
C(Region)[T.Europe]:Obesity 0.0004 0.002 0.162 0.871 -0.004 0.005
C(Region)[T.Middle East, North Africa, Greater Arabia]:Obesity 0.0005 0.002 0.357 0.722 -0.002 0.004
C(Region)[T.North America]:Obesity 0.0029 0.005 0.562 0.575 -0.007 0.013
C(Region)[T.South America]:Obesity -0.0024 0.003 -0.907 0.366 -0.007 0.003
C(Region)[T.Sub-Saharan Africa]:Obesity 0.0023 0.002 1.331 0.185 -0.001 0.006
==============================================================================
Omnibus: 9.404 Durbin-Watson: 2.333
Prob(Omnibus): 0.009 Jarque-Bera (JB): 19.054
Skew: 0.129 Prob(JB): 7.29e-05
Kurtosis: 4.655 Cond. No. 1.50e+03
==============================================================================
Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.5e+03. This might indicate that there are
strong multicollinearity or other numerical problems.
Parameters: Intercept 0.002970
C(Region)[T.Australia, Oceania] -0.002821
C(Region)[T.Central America, Caribbean] 0.007047
C(Region)[T.Europe] 0.074244
C(Region)[T.Middle East, North Africa, Greater Arabia] 0.004344
C(Region)[T.North America] 0.003381
C(Region)[T.South America] 0.114780
C(Region)[T.Sub-Saharan Africa] -0.018486
Obesity 0.000280
C(Region)[T.Australia, Oceania]:Obesity -0.000263
C(Region)[T.Central America, Caribbean]:Obesity 0.000316
C(Region)[T.Europe]:Obesity 0.000365
C(Region)[T.Middle East, North Africa, Greater Arabia]:Obesity 0.000540
C(Region)[T.North America]:Obesity 0.002864
C(Region)[T.South America]:Obesity -0.002350
C(Region)[T.Sub-Saharan Africa]:Obesity 0.002271
dtype: float64
R-Squared: 0.6154042440917984
# Allow for the Continent variable to be treated categorically by encoding categorical variables without affecting model
# The : says that we have a possible interaction between Deaths and Obesity that we would like to explore and that
# Covid Deaths are different based on Obesity from different Continents
# Interpret this as the
model = smf.ols(formula='Deaths ~ Obesity + C(Region) + Deaths:Obesity', data=region_data).fit()
summary = model.summary()
print(summary)
print("\n" + "Parameters:", model.params)
print("\n" + "R-Squared: ", model.rsquared)
OLS Regression Results
==============================================================================
Dep. Variable: Deaths R-squared: 0.974
Model: OLS Adj. R-squared: 0.973
Method: Least Squares F-statistic: 639.2
Date: Tue, 14 Dec 2021 Prob (F-statistic): 1.43e-116
Time: 17:13:15 Log-Likelihood: 559.32
No. Observations: 163 AIC: -1099.
Df Residuals: 153 BIC: -1068.
Df Model: 9
Covariance Type: nonrobust
==========================================================================================================================
coef std err t P>|t| [0.025 0.975]
--------------------------------------------------------------------------------------------------------------------------
Intercept 0.0085 0.002 4.041 0.000 0.004 0.013
C(Region)[T.Australia, Oceania] 0.0073 0.004 1.756 0.081 -0.001 0.016
C(Region)[T.Central America, Caribbean] 0.0078 0.003 2.514 0.013 0.002 0.014
C(Region)[T.Europe] 0.0110 0.003 3.424 0.001 0.005 0.017
C(Region)[T.Middle East, North Africa, Greater Arabia] 0.0050 0.003 1.515 0.132 -0.002 0.012
C(Region)[T.North America] -0.0173 0.006 -2.813 0.006 -0.029 -0.005
C(Region)[T.South America] 0.0143 0.004 4.054 0.000 0.007 0.021
C(Region)[T.Sub-Saharan Africa] -0.0003 0.002 -0.120 0.905 -0.005 0.004
Obesity -0.0006 0.000 -4.878 0.000 -0.001 -0.000
Deaths:Obesity 0.0386 0.001 46.833 0.000 0.037 0.040
==============================================================================
Omnibus: 17.285 Durbin-Watson: 1.824
Prob(Omnibus): 0.000 Jarque-Bera (JB): 56.823
Skew: 0.224 Prob(JB): 4.58e-13
Kurtosis: 5.858 Cond. No. 260.
==============================================================================
Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
Parameters: Intercept 0.008467
C(Region)[T.Australia, Oceania] 0.007326
C(Region)[T.Central America, Caribbean] 0.007768
C(Region)[T.Europe] 0.011045
C(Region)[T.Middle East, North Africa, Greater Arabia] 0.005018
C(Region)[T.North America] -0.017322
C(Region)[T.South America] 0.014301
C(Region)[T.Sub-Saharan Africa] -0.000264
Obesity -0.000602
Deaths:Obesity 0.038563
dtype: float64
R-Squared: 0.9740950530836745
fig = px.violin(region_data, x = 'Region', y='Obesity', points = 'all', color = 'Region', box = True)
fig.update_layout(
title_text='Obesity Percentage compared by each region of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(region_data, x = 'Region', y='Meat', points = 'all', color = 'Region', box = True)
fig.update_layout(
title_text='Fat Meat Percentage compared by each region of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(food_regions_data, x = 'Region', y='Meat', points = 'all', color = 'Region', box = True)
fig.update_layout(
title_text='Meat Consumption Percentage compared by each region of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(region_data, x = 'Region', y='Vegetables', points = 'all', color = 'Region', box = True)
fig.update_layout(
title_text='Vegetable Fat Percentage compared by each region of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(food_regions_data, x = 'Region', y='Vegetables', points = 'all', color = 'Region', box = True)
fig.update_layout(
title_text='Vegetable Consumption Percentage compared by each region of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(region_data, x = 'Region', y='Undernourished', points = 'all', color = 'Region', box = True)
fig.update_layout(
title_text='Undernourished Percentage compared by each region of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(region_data, x = 'Region', y='Confirmed', points = 'all', color = 'Region', box = True)
fig.update_layout(
title_text='Confirmed Covid Case Percentage compared by each region of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(region_data, x = 'Region', y='Animal Products', points = 'all', color = 'Region', box = True)
fig.update_layout(
title_text='Animal Product Fat Percentage compared by each region of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(food_regions_data, x = 'Region', y='Animal Products', points = 'all', color = 'Region', box = True)
fig.update_layout(
title_text='Animal Product Consumption Percentage compared by each region of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(food_regions_data, x = 'Region', y='Sugar & Sweeteners', points = 'all', color = 'Region', box = True)
fig.update_layout(
title_text='Sugar and Sweeteners Consumption Percentage compared by each region of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(food_regions_data, x = 'Region', y='Treenuts', points = 'all', color = 'Region', box = True)
fig.update_layout(
title_text='Treenut Consumption Percentage compared by each region of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
Continent And Covid Deaths
Asia = ['Afghanistan', 'Bangladesh', 'Cambodia', 'China', 'India', 'Indonesia', 'Japan', 'Kazakhstan', 'Korea, North',
'Korea, South', 'Kyrgyzstan', "Lao People's Democratic Republic", 'Malaysia', 'Maldives', 'Mongolia', 'Myanmar', 'Nepal',
'Philippines', 'Sri Lanka', "Taiwan*", 'Tajikistan', 'Thailand', "Turkmenistan", 'Uzbekistan', 'Vietnam',
'Iran (Islamic Republic of)', 'Iraq', 'Israel', 'Jordan','Kuwait','Lebanon', 'Oman', 'Pakistan', 'Saudi Arabia', 'Yemen',
'United Arab Emirates']
Europe = ['Albania', 'Armenia', 'Austria', 'Belarus', 'Belgium', 'Bosnia and Herzegovina', 'Bulgaria', 'Croatia', 'Cyprus',
'Czechia', 'Denmark', 'Estonia', 'Finland', 'France', 'Georgia', 'Germany', 'Greece', 'Hungary', 'Iceland',
'Ireland', 'Italy', "Latvia", 'Lithuania', 'Luxembourg', 'North Macedonia', 'Malta', 'Republic of Moldova', 'Montenegro', 'Netherlands',
'Norway', 'Poland', 'Portugal', 'Romania', 'Russian Federation', 'Serbia', 'Slovakia', 'Slovenia', 'Spain', 'Sweden', 'Switzerland',
'Ukraine', 'United Kingdom', 'Turkey','Azerbaijan']
Americas = ['Canada', 'Mexico', "United States of America", 'Argentina', 'Bolivia', 'Brazil', 'Chile', 'Colombia', 'Ecuador','Guyana', 'Paraguay', 'Peru',
'Suriname', 'Uruguay', 'Venezuela (Bolivarian Republic of)','Antigua and Barbuda', 'Bahamas', 'Barbados', 'Belize', 'Costa Rica', 'Cuba', 'Dominica', 'Dominican Republic', 'El Salvador', 'Grenada',
'Guatemala', 'Haiti', 'Honduras', 'Jamaica', 'Nicaragua', 'Panama', 'Saint Kitts and Nevis', 'Saint Lucia',
'Saint Vincent and the Grenadines', 'Trinidad and Tobago']
Africa = ['Algeria','Angola', 'Benin', 'Botswana', 'Burkina Faso', 'Cabo Verde', 'Cameroon', 'Central African Republic', 'Chad',
'Congo', "Cote d'Ivoire", 'Djibouti', 'Egypt','Eswatini', 'Ethiopia', 'Gabon', 'Gambia', 'Ghana', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Liberia',
'Madagascar', 'Malawi', 'Mali', 'Mauritania', 'Mauritius', 'Mozambique', 'Namibia', 'Niger', 'Nigeria', 'Rwanda',
'Sao Tome and Principe', 'Senegal', 'Sierra Leone', 'South Africa', 'Sudan', 'United Republic of Tanzania',
'Togo', 'Uganda', 'Zambia', 'Zimbabwe','Morocco', 'Tunisia']
Oceania = ['Australia', 'Fiji', 'French Polynesia', 'Kiribati', 'New Caledonia', 'New Zealand', 'Samoa', 'Solomon Islands', 'Timor-Leste', 'Vanuatu' ]
continent_list = []
for i in regions_covid_df['Country']:
if i in Asia:
continent_list.append('Asia')
if i in Africa:
continent_list.append('Africa')
if i in Europe:
continent_list.append('Europe')
if i in Americas:
continent_list.append('Americas')
if i in Australia_and_Oceania:
continent_list.append('Oceania')
# Fat Percentage Dataset
regions_covid_df['Continent'] = continent_list
# Food Supply Dataset
food_regions_df['Continent'] = continent_list
continent_data = regions_covid_df[['Country', 'Continent', 'Region', 'Deaths', 'Obesity', 'Meat', 'Pulses', 'Sugar & Sweeteners', 'Vegetables', 'Fruits - Excluding Wine', 'Undernourished', 'Population',
'Confirmed', 'Animal Products']]
continent_data
<ipython-input-37-32e24393380f>:40: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy <ipython-input-37-32e24393380f>:42: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
| Country | Continent | Region | Deaths | Obesity | Meat | Pulses | Sugar & Sweeteners | Vegetables | Fruits - Excluding Wine | Fruits - Excluding Wine | Undernourished | Population | Confirmed | Animal Products | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Asia | Middle East, North Africa, Greater Arabia | 0.006186 | 4.5 | 6.1244 | 0.1960 | 0.0000 | 0.3593 | 0.4246 | 0.4246 | 29.8 | 3.892800e+07 | 0.142134 | 21.6397 |
| 1 | Albania | Europe | Europe | 0.050951 | 22.3 | 8.7428 | 0.1148 | 0.0000 | 0.6503 | 0.6418 | 0.6418 | 6.2 | 2.838000e+06 | 2.967301 | 32.0002 |
| 2 | Algeria | Africa | Middle East, North Africa, Greater Arabia | 0.006558 | 26.6 | 3.8961 | 0.2698 | 0.0000 | 0.5145 | 0.5772 | 0.5772 | 3.9 | 4.435700e+07 | 0.244897 | 14.4175 |
| 3 | Angola | Africa | Sub-Saharan Africa | 0.001461 | 6.8 | 11.0268 | 0.3282 | 0.0000 | 0.1231 | 0.3488 | 0.3488 | 25 | 3.252200e+07 | 0.061687 | 15.3041 |
| 4 | Antigua and Barbuda | Americas | Central America, Caribbean | 0.007143 | 19.1 | 14.3202 | 0.0673 | 0.0000 | 0.2469 | 1.2177 | 1.2177 | NaN | 9.800000e+04 | 0.293878 | 27.7033 |
| 5 | Argentina | Americas | South America | 0.108227 | 28.5 | 19.2693 | 0.0213 | 0.0000 | 0.1878 | 0.2091 | 0.2091 | 4.6 | 4.537700e+07 | 4.356147 | 30.3572 |
| 6 | Armenia | Europe | Europe | 0.105345 | 20.9 | 10.8165 | 0.0774 | 0.0000 | 0.8717 | 0.5468 | 0.5468 | 4.3 | 2.956000e+06 | 5.681225 | 29.6642 |
| 7 | Australia | Oceania | Australia, Oceania | 0.003530 | 30.4 | 11.6002 | 0.0260 | 0.0000 | 0.2144 | 0.4028 | 0.4028 | <2.5 | 2.575400e+07 | 0.112025 | 24.1099 |
| 8 | Austria | Europe | Europe | 0.089679 | 21.9 | 8.1099 | 0.0120 | 0.0000 | 0.2039 | 0.2249 | 0.2249 | <2.5 | 8.914000e+06 | 4.739982 | 27.8268 |
| 9 | Azerbaijan | Europe | Middle East, North Africa, Greater Arabia | 0.031223 | 19.9 | 11.9993 | 0.0255 | 0.0000 | 0.6534 | 0.5940 | 0.5940 | <2.5 | 1.010800e+07 | 2.285536 | 32.1198 |
| 10 | Bahamas | Americas | Central America, Caribbean | 0.044784 | 32.1 | 17.4941 | 0.0209 | 0.0000 | 0.3974 | 0.8995 | 0.8995 | NaN | 3.930000e+05 | 2.100763 | 30.2259 |
| 11 | Bangladesh | Asia | Asia | 0.004823 | 3.4 | 1.8407 | 0.5448 | 0.0000 | 0.3092 | 0.4270 | 0.4270 | 14.7 | 1.698090e+08 | 0.316691 | 9.8365 |
| 12 | Barbados | Americas | Central America, Caribbean | 0.006272 | 24.8 | 13.1382 | 0.2318 | 0.0000 | 0.2534 | 0.4636 | 0.4636 | 3.9 | 2.870000e+05 | 0.583972 | 25.8451 |
| 13 | Belarus | Europe | Europe | 0.018912 | 26.6 | 11.5636 | 0.0000 | 0.0000 | 0.3394 | 0.2316 | 0.2316 | <2.5 | 9.375000e+06 | 2.740896 | 23.8181 |
| 14 | Belgium | Europe | Europe | 0.185428 | 24.5 | 5.6817 | 0.0353 | 0.0000 | 0.2982 | 0.2373 | 0.2373 | <2.5 | 1.151500e+07 | 6.286322 | 26.7378 |
| 15 | Belize | Americas | Central America, Caribbean | 0.073031 | 22.4 | 10.3435 | 0.3783 | 0.0000 | 0.2108 | 0.3039 | 0.3039 | 7.5 | 4.190000e+05 | 2.872792 | 23.7877 |
| 16 | Benin | Africa | Sub-Saharan Africa | 0.000450 | 8.2 | 3.2849 | 0.6535 | 0.0000 | 0.3612 | 0.1978 | 0.1978 | 10.1 | 1.220900e+07 | 0.034344 | 6.1742 |
| 17 | Bolivia | Americas | South America | 0.092435 | 18.7 | 21.1476 | 0.2093 | 0.0000 | 0.1919 | 0.5407 | 0.5407 | 17.1 | 1.163300e+07 | 1.952446 | 30.4177 |
| 18 | Bosnia and Herzegovina | Europe | Europe | 0.145535 | 19.4 | 9.6957 | 0.2012 | 0.0000 | 0.7866 | 0.5976 | 0.5976 | <2.5 | 3.281000e+06 | 3.762085 | 24.6478 |
| 19 | Botswana | Africa | Sub-Saharan Africa | 0.007035 | 16.1 | 3.4759 | 0.1156 | 0.0000 | 0.1850 | 0.1696 | 0.1696 | 26.4 | 2.317000e+06 | 1.014372 | 16.9634 |
| 20 | Brazil | Americas | South America | 0.108603 | 22.3 | 14.2920 | 0.2528 | 0.0120 | 0.1204 | 0.2528 | 0.2528 | <2.5 | 2.118120e+08 | 4.460165 | 24.8515 |
| 21 | Bulgaria | Europe | Europe | 0.134416 | 27.4 | 9.3523 | 0.0471 | 0.0000 | 0.2461 | 0.2723 | 0.2723 | 3.6 | 6.927000e+06 | 3.227256 | 27.1456 |
| 22 | Burkina Faso | Africa | Sub-Saharan Africa | 0.000641 | 4.5 | 3.5741 | 0.5391 | 0.0000 | 0.0665 | 0.0443 | 0.0443 | 20 | 2.090300e+07 | 0.053710 | 7.2367 |
| 23 | Cabo Verde | Africa | Sub-Saharan Africa | 0.024281 | 10.6 | 9.9204 | 0.4526 | 0.0000 | 0.3066 | 0.1898 | 0.1898 | 12.6 | 5.560000e+05 | 2.586331 | 21.9578 |
| 24 | Cambodia | Asia | Asia | 0.000000 | 3.5 | 11.7799 | 0.2743 | 0.0000 | 0.2591 | 0.2438 | 0.2438 | 16.4 | 1.549700e+07 | 0.003059 | 18.8510 |
| 25 | Cameroon | Africa | Sub-Saharan Africa | 0.001782 | 9.5 | 3.3685 | 0.8491 | 0.0000 | 0.5505 | 0.7931 | 0.7931 | 9.9 | 2.659800e+07 | 0.118031 | 6.3264 |
| 26 | Canada | Americas | North America | 0.054203 | 31.3 | 7.8211 | 0.1991 | 0.0000 | 0.2220 | 0.4244 | 0.4244 | <2.5 | 3.819000e+07 | 2.109961 | 23.1663 |
| 27 | Central African Republic | Africa | Sub-Saharan Africa | 0.001304 | 6.3 | 12.9144 | 0.4794 | 0.0000 | 0.0918 | 0.4998 | 0.4998 | 59.6 | 4.830000e+06 | 0.103292 | 18.5453 |
| 28 | Chad | Africa | Sub-Saharan Africa | 0.000741 | 4.8 | 7.8546 | 0.5342 | 0.0000 | 0.0263 | 0.0701 | 0.0701 | 37.5 | 1.687700e+07 | 0.020578 | 16.8564 |
| 29 | Chile | Americas | South America | 0.097047 | 28.8 | 20.2172 | 0.2093 | 0.0000 | 0.2602 | 0.4186 | 0.4186 | 2.7 | 1.947000e+07 | 3.842229 | 32.5206 |
| 30 | China | Asia | Asia | 0.000344 | 6.6 | 21.6062 | 0.0234 | 0.0179 | 0.5763 | 0.2344 | 0.2344 | 8.5 | 1.402385e+09 | 0.007156 | 31.0465 |
| 31 | Colombia | Americas | South America | 0.112639 | 22.1 | 11.3996 | 0.1652 | 0.0000 | 0.1829 | 1.2273 | 1.2273 | 4.8 | 4.944400e+07 | 4.350795 | 21.4008 |
| 32 | Congo | Africa | Sub-Saharan Africa | 0.014516 | 8.4 | 9.6514 | 0.1483 | 0.0000 | 0.5827 | 0.8370 | 0.8370 | 40.3 | 5.518000e+06 | 0.571675 | 12.9993 |
| 33 | Costa Rica | Americas | Central America, Caribbean | 0.052279 | 25.7 | 5.6449 | 0.2436 | 0.0138 | 0.1701 | 0.5700 | 0.5700 | 4.8 | 5.111000e+06 | 3.843436 | 20.5571 |
| 34 | Cote d'Ivoire | Africa | Sub-Saharan Africa | 0.000619 | 9.0 | 2.5809 | 0.1000 | 0.0000 | 0.3272 | 0.5271 | 0.5271 | 19 | 2.617500e+07 | 0.112959 | 5.3253 |
| 35 | Croatia | Europe | Europe | 0.127960 | 27.1 | 11.4896 | 0.0175 | 0.0000 | 0.3930 | 0.2577 | 0.2577 | <2.5 | 4.020000e+06 | 5.848905 | 29.3768 |
| 36 | Cuba | Americas | Central America, Caribbean | 0.002065 | 26.7 | 16.0233 | 0.6248 | 0.0000 | 0.5554 | 0.6179 | 0.6179 | <2.5 | 1.128100e+07 | 0.283760 | 25.9025 |
| 37 | Cyprus | Europe | Europe | 0.017481 | 22.6 | 10.5506 | 0.0628 | 0.0000 | 0.2601 | 0.3632 | 0.3632 | 5.6 | 1.207000e+06 | 2.621707 | 20.9578 |
| 38 | Czechia | Europe | Europe | 0.159845 | 28.5 | 8.6212 | 0.0353 | 0.0000 | 0.1729 | 0.1870 | 0.1870 | <2.5 | 1.071600e+07 | 9.612841 | 25.1685 |
| 39 | Denmark | Europe | Europe | 0.038017 | 21.3 | 9.2408 | 0.0152 | 0.0000 | 0.2819 | 0.5257 | 0.5257 | <2.5 | 5.829000e+06 | 3.463218 | 35.4131 |
| 40 | Djibouti | Africa | Sub-Saharan Africa | 0.006377 | 12.2 | 5.1210 | 0.5570 | 0.0000 | 0.4572 | 0.1247 | 0.1247 | 18.9 | 9.880000e+05 | 0.601316 | 11.1065 |
| 41 | Dominica | Americas | Central America, Caribbean | 0.000000 | 28.2 | 13.7339 | 0.1373 | 0.0000 | 0.2309 | 1.1856 | 1.1856 | 6.2 | 7.200000e+04 | 0.168056 | 26.9250 |
| 42 | Dominican Republic | Americas | Central America, Caribbean | 0.026676 | 26.9 | 7.3718 | 0.1921 | 0.0000 | 0.1218 | 3.6133 | 3.6133 | 9.5 | 1.050000e+07 | 2.115695 | 15.2779 |
| 43 | Ecuador | Americas | South America | 0.085683 | 19.3 | 8.7453 | 0.0616 | 0.0000 | 0.0840 | 0.4367 | 0.4367 | 7.9 | 1.751100e+07 | 1.468306 | 20.9283 |
| 44 | Egypt | Africa | Middle East, North Africa, Greater Arabia | 0.009527 | 31.1 | 6.4678 | 0.1584 | 0.0000 | 0.6600 | 0.7216 | 0.7216 | 4.5 | 1.008030e+08 | 0.167759 | 15.9979 |
| 45 | El Salvador | Americas | Central America, Caribbean | 0.025814 | 22.7 | 6.6547 | 0.5837 | 0.0000 | 0.4514 | 1.4321 | 1.4321 | 9 | 6.481000e+06 | 0.867721 | 23.3032 |
| 46 | Estonia | Europe | Europe | 0.034260 | 23.8 | 10.4279 | 0.0658 | 0.0000 | 0.2865 | 0.3805 | 0.3805 | 2.9 | 1.331000e+06 | 3.569647 | 33.2190 |
| 47 | Eswatini | Africa | Sub-Saharan Africa | 0.054710 | 13.5 | 11.1162 | 0.2071 | 0.0000 | 0.1956 | 0.4718 | 0.4718 | 20.6 | 1.104000e+06 | 1.465670 | 20.8055 |
| 48 | Ethiopia | Africa | Sub-Saharan Africa | 0.001867 | 3.6 | 4.1768 | 2.5545 | 0.0000 | 0.1305 | 0.4102 | 0.4102 | 20.6 | 1.149160e+08 | 0.123093 | 11.1691 |
| 49 | Fiji | Oceania | Australia, Oceania | 0.000223 | 30.0 | 8.4230 | 0.2991 | 0.0000 | 0.1732 | 0.0840 | 0.0840 | 3.7 | 8.960000e+05 | 0.006250 | 20.0472 |
| 50 | Finland | Europe | Europe | 0.012443 | 24.9 | 16.6649 | 0.0179 | 0.0000 | 0.2041 | 0.2901 | 0.2901 | <2.5 | 5.529000e+06 | 0.854802 | 36.7250 |
| 51 | France | Europe | Europe | 0.121558 | 23.2 | 11.0864 | 0.0254 | 0.0000 | 0.1776 | 0.3869 | 0.3869 | <2.5 | 6.494000e+07 | 5.199055 | 30.2594 |
| 52 | French Polynesia | Oceania | Australia, Oceania | NaN | NaN | 14.0782 | 0.0399 | 0.0000 | 0.1397 | 0.1995 | 0.1995 | 4.2 | 2.800000e+05 | NaN | 25.1596 |
| 53 | Gabon | Africa | Sub-Saharan Africa | 0.003182 | 13.4 | 13.4068 | 0.0089 | 0.0000 | 0.2045 | 0.6401 | 0.6401 | 10.5 | 2.231000e+06 | 0.513537 | 19.2656 |
| 54 | Gambia | Africa | Sub-Saharan Africa | 0.005544 | 8.7 | 1.3488 | 0.0311 | 0.0000 | 0.0746 | 0.0373 | 0.0373 | 10.2 | 2.417000e+06 | 0.175300 | 6.0418 |
| 55 | Georgia | Europe | Europe | 0.087995 | 23.3 | 7.2326 | 0.0000 | 0.0000 | 0.1999 | 0.2071 | 0.2071 | 7.9 | 3.715000e+06 | 7.042261 | 25.2749 |
| 56 | Germany | Europe | Europe | 0.073891 | 25.7 | 8.9127 | 0.0101 | 0.0000 | 0.2160 | 0.2632 | 0.2632 | <2.5 | 8.330000e+07 | 2.743101 | 28.1419 |
| 57 | Ghana | Africa | Sub-Saharan Africa | 0.001445 | 9.7 | 3.1618 | 0.3968 | 0.0000 | 0.2480 | 1.2151 | 1.2151 | 5.5 | 3.107300e+07 | 0.225424 | 7.6875 |
| 58 | Greece | Europe | Europe | 0.055617 | 27.4 | 6.6267 | 0.0795 | 0.0000 | 0.2848 | 0.2484 | 0.2484 | <2.5 | 1.070000e+07 | 1.525355 | 17.9063 |
| 59 | Grenada | Americas | Central America, Caribbean | 0.000885 | 20.2 | 12.9576 | 0.1900 | 0.0000 | 0.1077 | 2.8436 | 2.8436 | NaN | 1.130000e+05 | 0.130973 | 23.0842 |
| 60 | Guatemala | Americas | Central America, Caribbean | 0.032403 | 18.8 | 7.0735 | 0.5764 | 0.0000 | 0.2553 | 1.2516 | 1.2516 | 15.2 | 1.806600e+07 | 0.901899 | 15.4397 |
| 61 | Guinea | Africa | Sub-Saharan Africa | 0.000669 | 6.6 | 2.8993 | 0.1744 | 0.0000 | 0.7848 | 0.3415 | 0.3415 | 16.5 | 1.256000e+07 | 0.116760 | 6.0747 |
| 62 | Guinea-Bissau | Africa | Sub-Saharan Africa | 0.002387 | 8.2 | 8.0527 | 0.0794 | 0.0000 | 0.0794 | 0.2938 | 0.2938 | 28 | 1.927000e+06 | 0.143851 | 10.8323 |
| 63 | Guyana | Americas | South America | 0.022872 | 19.2 | 12.5550 | 0.3871 | 0.0000 | 1.1538 | 1.5030 | 1.5030 | 8.1 | 7.870000e+05 | 1.008767 | 22.7418 |
| 64 | Haiti | Americas | Central America, Caribbean | 0.002149 | 20.5 | 7.8944 | 0.8458 | 0.0226 | 0.1241 | 1.6804 | 1.6804 | 49.3 | 1.140300e+07 | 0.103113 | 12.1462 |
| 65 | Honduras | Americas | Central America, Caribbean | 0.037612 | 19.4 | 7.8603 | 0.4194 | 0.0000 | 0.1157 | 0.3760 | 0.3760 | 12.9 | 9.864000e+06 | 1.560270 | 16.7113 |
| 66 | Hungary | Europe | Europe | 0.133367 | 28.6 | 10.0576 | 0.0391 | 0.0000 | 0.2019 | 0.1270 | 0.1270 | <2.5 | 9.767000e+06 | 3.840739 | 28.9972 |
| 67 | Iceland | Europe | Europe | 0.007880 | 23.1 | 13.6029 | 0.0120 | 0.0000 | 0.1678 | 0.4975 | 0.4975 | <2.5 | 3.680000e+05 | 1.636141 | 34.4402 |
| 68 | India | Asia | Asia | 0.011070 | 3.8 | 0.9061 | 1.1084 | 0.0000 | 0.3958 | 0.4046 | 0.4046 | 14.5 | 1.400100e+09 | 0.773256 | 16.0538 |
| 69 | Indonesia | Asia | Asia | 0.011553 | 6.9 | 3.6237 | 0.0452 | 0.0633 | 0.2711 | 0.7139 | 0.7139 | 8.3 | 2.717390e+08 | 0.422100 | 9.1722 |
| 70 | Iran (Islamic Republic of) | Asia | Middle East, North Africa, Greater Arabia | 0.069414 | 25.5 | 6.1724 | 0.2961 | 0.0000 | 0.5278 | 0.6243 | 0.6243 | 4.9 | 8.415000e+07 | 1.734248 | 16.9273 |
| 71 | Iraq | Asia | Middle East, North Africa, Greater Arabia | 0.033004 | 27.4 | 3.5164 | 0.1369 | 0.0000 | 0.1513 | 0.2306 | 0.2306 | 29 | 3.972500e+07 | 1.579398 | 11.1327 |
| 72 | Ireland | Europe | Europe | 0.073436 | 26.9 | 10.0477 | 0.0389 | 0.0000 | 0.2405 | 0.2829 | 0.2829 | <2.5 | 5.003000e+06 | 4.048531 | 27.1689 |
| 73 | Israel | Asia | Middle East, North Africa, Greater Arabia | 0.055024 | 26.7 | 8.1541 | 0.1605 | 0.0000 | 0.2857 | 1.6051 | 1.6051 | <2.5 | 9.216000e+06 | 7.439052 | 15.8138 |
| 74 | Italy | Europe | Europe | 0.150927 | 22.9 | 8.7134 | 0.0858 | 0.0000 | 0.2277 | 0.2541 | 0.2541 | <2.5 | 6.029600e+07 | 4.353685 | 21.8727 |
| 75 | Jamaica | Americas | Central America, Caribbean | 0.012709 | 24.4 | 9.5156 | 0.0890 | 0.0000 | 0.2924 | 0.4322 | 0.4322 | 8 | 2.809000e+06 | 0.599537 | 23.0867 |
| 76 | Japan | Asia | Asia | 0.005059 | 4.4 | 7.8331 | 0.0342 | 0.0000 | 0.3478 | 0.1881 | 0.1881 | <2.5 | 1.259670e+08 | 0.320821 | 19.4516 |
| 77 | Jordan | Asia | Middle East, North Africa, Greater Arabia | 0.040912 | 33.4 | 5.8122 | 0.2584 | 0.0000 | 0.2694 | 0.1980 | 0.1980 | 12.2 | 1.067900e+07 | 3.126276 | 12.2622 |
| 78 | Kazakhstan | Asia | Asia | 0.016651 | 21.3 | 9.6740 | 0.0078 | 0.0000 | 0.3497 | 0.1787 | 0.1787 | <2.5 | 1.873200e+07 | 1.299402 | 23.4158 |
| 79 | Kenya | Africa | Sub-Saharan Africa | 0.003318 | 6.0 | 6.5654 | 0.8429 | 0.0000 | 0.2107 | 1.0757 | 1.0757 | 29.4 | 5.352800e+07 | 0.189975 | 17.7332 |
| 80 | Kiribati | Oceania | Australia, Oceania | NaN | 45.6 | 6.1955 | 0.0000 | 0.0000 | 0.1397 | 0.3517 | 0.3517 | 2.7 | 1.250000e+05 | NaN | 10.5699 |
| 81 | Korea, North | Asia | Asia | NaN | 7.1 | 8.7179 | 0.6555 | 0.0000 | 1.0357 | 0.6424 | 0.6424 | 47.8 | 2.577900e+07 | NaN | 11.4709 |
| 82 | Korea, South | Asia | Asia | 0.002841 | 4.9 | 11.1860 | 0.0186 | 0.0000 | 0.6924 | 0.1766 | 0.1766 | <2.5 | 5.178100e+07 | 0.156227 | 20.0483 |
| 83 | Kuwait | Asia | Middle East, North Africa, Greater Arabia | 0.020550 | 37.0 | 9.5706 | 0.1984 | 0.0000 | 0.5055 | 0.3496 | 0.3496 | 2.8 | 4.691000e+06 | 3.624728 | 19.8923 |
| 84 | Kyrgyzstan | Asia | Asia | 0.021580 | 15.4 | 10.1776 | 0.1940 | 0.0000 | 0.7163 | 0.2388 | 0.2388 | 7.1 | 6.594000e+06 | 1.288929 | 29.1225 |
| 85 | Lao People's Democratic Republic | Asia | Asia | 0.000000 | 4.5 | 15.0283 | 0.1365 | 0.0000 | 1.1118 | 0.8777 | 0.8777 | 16.5 | 7.242000e+06 | 0.000621 | 21.6306 |
| 86 | Latvia | Europe | Europe | 0.069769 | 25.7 | 9.7976 | 0.0000 | 0.0000 | 0.2606 | 0.2526 | 0.2526 | <2.5 | 1.902000e+06 | 3.749737 | 30.4390 |
| 87 | Lebanon | Asia | Middle East, North Africa, Greater Arabia | 0.052190 | 31.3 | 5.1361 | 0.2175 | 0.0000 | 0.3736 | 0.5800 | 0.5800 | 11 | 6.825000e+06 | 4.656938 | 12.4024 |
| 88 | Lesotho | Africa | Sub-Saharan Africa | 0.008543 | 13.5 | 9.1881 | 0.4025 | 0.0000 | 0.1725 | 0.1495 | 0.1495 | 13.1 | 2.142000e+06 | 0.437908 | 12.9600 |
| 89 | Liberia | Africa | Sub-Saharan Africa | 0.001661 | 8.6 | 6.0051 | 0.0361 | 0.0000 | 0.1896 | 0.1445 | 0.1445 | 37.2 | 5.058000e+06 | 0.038671 | 7.4228 |
| 90 | Lithuania | Europe | Europe | 0.104760 | 28.4 | 14.2134 | 0.2345 | 0.0000 | 0.2579 | 0.3283 | 0.3283 | <2.5 | 2.794000e+06 | 6.667072 | 32.3048 |
| 91 | Luxembourg | Europe | Europe | 0.093354 | 24.2 | 16.3118 | 0.0146 | 0.0000 | 0.2634 | 0.3256 | 0.3256 | <2.5 | 6.320000e+05 | 8.150633 | 32.4517 |
| 92 | Madagascar | Africa | Sub-Saharan Africa | 0.001015 | 4.5 | 11.5581 | 0.3193 | 0.0000 | 0.1916 | 1.2984 | 1.2984 | 44.4 | 2.769100e+07 | 0.068849 | 19.0932 |
| 93 | Malawi | Africa | Sub-Saharan Africa | 0.004375 | 4.7 | 14.6458 | 0.7519 | 0.0000 | 0.2224 | 1.3767 | 1.3767 | 17.5 | 1.913000e+07 | 0.140486 | 18.8711 |
| 94 | Malaysia | Asia | Asia | 0.002614 | 15.3 | 9.8041 | 0.0658 | 0.0000 | 0.2359 | 0.1756 | 0.1756 | 2.5 | 3.278100e+07 | 0.728230 | 17.1723 |
| 95 | Maldives | Asia | Asia | 0.009982 | 7.9 | 5.8360 | 0.0518 | 0.0000 | 0.5183 | 0.4665 | 0.4665 | 10.3 | 5.410000e+05 | 3.078743 | 29.7398 |
| 96 | Mali | Africa | Sub-Saharan Africa | 0.001669 | 7.1 | 5.6745 | 0.5475 | 0.0000 | 0.3816 | 0.2987 | 0.2987 | 6.3 | 2.025100e+07 | 0.040294 | 17.4631 |
| 97 | Malta | Europe | Europe | 0.053448 | 31.0 | 10.6541 | 0.0804 | 0.0000 | 0.5162 | 0.2666 | 0.2666 | <2.5 | 5.220000e+05 | 3.558621 | 29.3856 |
| 98 | Mauritania | Africa | Sub-Saharan Africa | 0.009140 | 11.3 | 5.7479 | 0.3373 | 0.0000 | 0.1514 | 0.0895 | 0.0895 | 10.4 | 4.650000e+06 | 0.361118 | 17.4021 |
| 99 | Mauritius | Africa | Sub-Saharan Africa | 0.000791 | 11.5 | 6.7594 | 0.2502 | 0.0000 | 0.1751 | 0.1501 | 0.1501 | 6.5 | 1.265000e+06 | 0.046166 | 12.8934 |
| 100 | Mexico | Americas | North America | 0.129731 | 28.4 | 13.2133 | 0.2380 | 0.0000 | 0.2429 | 0.5305 | 0.5305 | 3.6 | 1.277920e+08 | 1.507199 | 23.7741 |
| 101 | Mongolia | Asia | Asia | 0.000060 | 19.6 | 21.0223 | 0.0105 | 0.0000 | 0.1417 | 0.0420 | 0.0420 | 13.4 | 3.361000e+06 | 0.060190 | 36.9018 |
| 102 | Montenegro | Europe | Europe | 0.134405 | 24.9 | 14.7778 | 0.0788 | 0.0000 | 0.2578 | 0.3688 | 0.3688 | <2.5 | 6.220000e+05 | 10.408199 | 32.7855 |
| 103 | Morocco | Africa | Middle East, North Africa, Greater Arabia | 0.023312 | 25.6 | 6.9989 | 0.1477 | 0.0000 | 0.2953 | 0.7014 | 0.7014 | 3.4 | 3.595200e+07 | 1.321111 | 15.4227 |
| 104 | Mozambique | Africa | Sub-Saharan Africa | 0.001447 | 6.0 | 6.8783 | 0.7014 | 0.0000 | 0.1600 | 0.1846 | 0.1846 | 27.9 | 3.116600e+07 | 0.141539 | 11.5910 |
| 105 | Myanmar | Asia | Asia | NaN | 5.7 | 18.1335 | 0.6938 | 0.0813 | 0.2938 | 0.2750 | 0.2750 | 10.6 | 5.470400e+07 | NaN | 26.0470 |
| 106 | Namibia | Africa | Sub-Saharan Africa | 0.014601 | 15.0 | 7.7772 | 0.4316 | 0.0000 | 0.1359 | 0.2798 | 0.2798 | 27.3 | 2.541000e+06 | 1.371271 | 16.7373 |
| 107 | Nepal | Asia | Asia | 0.006784 | 3.8 | 2.7069 | 0.5513 | 0.0000 | 0.6006 | 0.5513 | 0.5513 | 8.7 | 2.999600e+07 | 0.906141 | 12.1853 |
| 108 | Netherlands | Europe | Europe | 0.082830 | 23.1 | 10.8567 | 0.0309 | 0.0000 | 0.2355 | 0.3475 | 0.3475 | <2.5 | 1.746700e+07 | 5.815292 | 30.1494 |
| 109 | New Caledonia | Oceania | Australia, Oceania | NaN | NaN | 11.6086 | 0.0293 | 0.0000 | 0.1887 | 0.2222 | 0.2222 | 7.1 | 2.950000e+05 | NaN | 22.2697 |
| 110 | New Zealand | Oceania | Australia, Oceania | 0.000501 | 32.0 | 13.9409 | 0.0773 | 0.0000 | 0.2835 | 0.3049 | 0.3049 | <2.5 | 4.987000e+06 | 0.046521 | 34.1264 |
| 111 | Nicaragua | Americas | Central America, Caribbean | 0.002577 | 21.8 | 7.6069 | 0.4646 | 0.0000 | 0.1811 | 0.1339 | 0.1339 | 17 | 6.596000e+06 | 0.095497 | 17.9935 |
| 112 | Niger | Africa | Sub-Saharan Africa | 0.000682 | 4.7 | 3.6332 | 1.4398 | 0.0000 | 0.4445 | 0.2416 | 0.2416 | 16.5 | 2.418900e+07 | 0.019009 | 10.9769 |
| 113 | Nigeria | Africa | Sub-Saharan Africa | 0.000799 | 7.8 | 2.4838 | 0.4241 | 0.0000 | 0.5452 | 0.3433 | 0.3433 | 13.4 | 2.061400e+08 | 0.067547 | 5.0182 |
| 114 | North Macedonia | Europe | Europe | 0.140192 | 23.9 | 6.5409 | 0.1355 | 0.0000 | 0.7450 | 0.4112 | 0.4112 | 3.2 | 2.080000e+06 | 4.548029 | 19.6420 |
| 115 | Norway | Europe | Europe | 0.010804 | 25.0 | 10.6992 | 0.0912 | 0.0000 | 0.1656 | 0.4055 | 0.4055 | <2.5 | 5.387000e+06 | 1.200167 | 27.2211 |
| 116 | Oman | Asia | Middle East, North Africa, Greater Arabia | 0.032506 | 22.9 | 9.0171 | 0.1689 | 0.0000 | 0.5782 | 0.7926 | 0.7926 | 6.8 | 4.713000e+06 | 2.865288 | 23.6146 |
| 117 | Pakistan | Asia | Middle East, North Africa, Greater Arabia | 0.005416 | 7.8 | 3.4967 | 0.2726 | 0.0000 | 0.0750 | 0.1227 | 0.1227 | 20.3 | 2.209400e+08 | 0.250961 | 24.8245 |
| 118 | Panama | Americas | Central America, Caribbean | 0.127364 | 22.5 | 9.1046 | 0.1509 | 0.0000 | 0.1258 | 0.5722 | 0.5722 | 10 | 4.283000e+06 | 7.622321 | 25.9557 |
| 119 | Paraguay | Americas | South America | 0.038691 | 19.0 | 10.2335 | 0.2123 | 0.0000 | 0.1198 | 0.3974 | 0.3974 | 10.7 | 7.255000e+06 | 1.896664 | 19.8084 |
| 120 | Peru | Americas | South America | 0.127751 | 19.1 | 6.8241 | 0.6030 | 0.0000 | 0.4523 | 1.6382 | 1.6382 | 9.7 | 3.282400e+07 | 3.573742 | 18.0402 |
| 121 | Philippines | Asia | Asia | 0.010139 | 6.0 | 18.8870 | 0.0550 | 0.0183 | 0.3576 | 0.7243 | 0.7243 | 13.3 | 1.095810e+08 | 0.488699 | 29.7607 |
| 122 | Poland | Europe | Europe | 0.101632 | 25.6 | 13.3072 | 0.0310 | 0.0000 | 0.2639 | 0.2057 | 0.2057 | <2.5 | 3.836800e+07 | 4.028175 | 32.7460 |
| 123 | Portugal | Europe | Europe | 0.136070 | 23.2 | 10.3459 | 0.0689 | 0.0000 | 0.2825 | 0.2825 | 0.2825 | <2.5 | 1.025500e+07 | 7.429605 | 26.4556 |
| 124 | Republic of Moldova | Europe | Europe | 0.099859 | 20.1 | 9.7764 | 0.0291 | 0.0000 | 0.3570 | 0.2987 | 0.2987 | NaN | 3.535000e+06 | 4.646195 | 26.5244 |
| 125 | Romania | Europe | Europe | 0.097755 | 24.5 | 7.9894 | 0.0407 | 0.0000 | 0.4477 | 0.2930 | 0.2930 | <2.5 | 1.924100e+07 | 3.863328 | 27.4359 |
| 126 | Russian Federation | Europe | Europe | 0.051120 | 25.7 | 10.8433 | 0.0546 | 0.0000 | 0.2638 | 0.2138 | 0.2138 | <2.5 | 1.467330e+08 | 2.663104 | 27.9360 |
| 127 | Rwanda | Africa | Sub-Saharan Africa | 0.001675 | 4.8 | 5.2182 | 2.6909 | 0.0000 | 0.2545 | 9.6727 | 9.6727 | 36.8 | 1.295200e+07 | 0.126135 | 11.0727 |
| 128 | Saint Kitts and Nevis | Americas | Central America, Caribbean | 0.000000 | 23.1 | 14.3547 | 0.1541 | 0.0000 | 0.1233 | 0.3596 | 0.3596 | NaN | 5.400000e+04 | 0.074074 | 24.3013 |
| 129 | Saint Lucia | Americas | Central America, Caribbean | 0.009890 | 19.8 | 22.8778 | 0.1810 | 0.0000 | 0.1508 | 0.3741 | 0.3741 | NaN | 1.820000e+05 | 0.996154 | 33.3454 |
| 130 | Saint Vincent and the Grenadines | Americas | Central America, Caribbean | 0.002703 | 23.8 | 17.5290 | 0.2759 | 0.0000 | 0.2509 | 0.7526 | 0.7526 | 5.7 | 1.110000e+05 | 1.082883 | 24.4653 |
| 131 | Samoa | Oceania | Australia, Oceania | 0.000000 | 45.5 | 13.2418 | 0.0000 | 0.0000 | 0.0431 | 0.6287 | 0.6287 | 2.7 | 2.000000e+05 | 0.001000 | 21.6806 |
| 132 | Sao Tome and Principe | Africa | Sub-Saharan Africa | 0.008571 | 10.6 | 4.1809 | 0.1342 | 0.0000 | 0.0738 | 1.2013 | 1.2013 | 7 | 2.100000e+05 | 0.643333 | 7.3284 |
| 133 | Saudi Arabia | Asia | Middle East, North Africa, Greater Arabia | 0.018256 | 35.0 | 6.9243 | 0.1794 | 0.0000 | 0.1891 | 0.4219 | 0.4219 | 7.1 | 3.504100e+07 | 1.055795 | 15.3954 |
| 134 | Senegal | Africa | Sub-Saharan Africa | 0.004031 | 7.4 | 3.2319 | 0.1222 | 0.0000 | 0.1901 | 0.0815 | 0.0815 | 11.3 | 1.674400e+07 | 0.170145 | 6.1040 |
| 135 | Serbia | Europe | Europe | 0.059106 | 23.5 | 18.1385 | 0.0775 | 0.0000 | 0.3635 | 0.5780 | 0.5780 | 5.7 | 6.957000e+06 | 5.840908 | 33.0354 |
| 136 | Sierra Leone | Africa | Sub-Saharan Africa | 0.000990 | 7.5 | 2.0412 | 0.4660 | 0.0000 | 0.2703 | 0.2610 | 0.2610 | 25.6 | 7.977000e+06 | 0.047286 | 5.9931 |
| 137 | Slovakia | Europe | Europe | 0.094013 | 22.4 | 5.8496 | 0.0221 | 0.0000 | 0.1292 | 0.1386 | 0.1386 | 3.4 | 5.462000e+06 | 4.792640 | 25.4930 |
| 138 | Slovenia | Europe | Europe | 0.171755 | 22.5 | 8.5899 | 0.0415 | 0.0000 | 0.2697 | 0.4606 | 0.4606 | <2.5 | 2.103000e+06 | 8.235901 | 26.6163 |
| 139 | Solomon Islands | Oceania | Australia, Oceania | 0.000000 | 20.5 | 6.5431 | 0.5199 | 0.0000 | 0.0785 | 0.5690 | 0.5690 | 8.9 | 7.150000e+05 | 0.002378 | 13.6649 |
| 140 | South Africa | Africa | Sub-Saharan Africa | 0.077447 | 27.0 | 14.1489 | 0.0427 | 0.0000 | 0.1647 | 0.0854 | 0.0854 | 6.2 | 5.962800e+07 | 2.471490 | 19.7743 |
| 141 | Spain | Europe | Europe | 0.128867 | 27.1 | 9.2772 | 0.0971 | 0.0000 | 0.2611 | 0.3750 | 0.3750 | <2.5 | 4.763500e+07 | 6.176110 | 19.5253 |
| 142 | Sri Lanka | Asia | Asia | 0.001600 | 5.4 | 2.0270 | 0.3794 | 0.0100 | 0.2396 | 0.5791 | 0.5791 | 9 | 2.193700e+07 | 0.312604 | 10.1348 |
| 143 | Sudan | Africa | Sub-Saharan Africa | 0.004176 | 7.4 | 7.0789 | 0.4108 | 0.0000 | 0.3521 | 0.3961 | 0.3961 | 20.1 | 4.384900e+07 | 0.067582 | 20.1511 |
| 144 | Suriname | Americas | South America | 0.026446 | 26.5 | 10.6390 | 0.0649 | 0.0000 | 0.2789 | 0.2335 | 0.2335 | 8.5 | 6.050000e+05 | 1.429752 | 14.8751 |
| 145 | Sweden | Europe | Europe | 0.116749 | 22.1 | 8.8481 | 0.0296 | 0.0000 | 0.2296 | 0.3556 | 0.3556 | <2.5 | 1.037700e+07 | 5.666975 | 28.4111 |
| 146 | Switzerland | Europe | Europe | 0.111258 | 21.2 | 12.0906 | 0.0268 | 0.0000 | 0.2141 | 0.3379 | 0.3379 | <2.5 | 8.634000e+06 | 6.160215 | 28.1054 |
| 147 | Taiwan* | Asia | Asia | 0.000038 | NaN | 13.2817 | 0.0506 | 0.0000 | 0.3111 | 0.2956 | 0.2956 | 3.5 | 2.361000e+07 | 0.003914 | 19.3217 |
| 148 | Tajikistan | Asia | Asia | 0.000955 | 12.6 | 7.1590 | 0.1131 | 0.0000 | 0.9395 | 0.3566 | 0.3566 | NaN | 9.429000e+06 | 0.141139 | 12.6827 |
| 149 | Thailand | Asia | Asia | 0.000119 | 10.8 | 11.6621 | 0.1012 | 0.0000 | 0.2102 | 0.5060 | 0.5060 | 7.8 | 6.653400e+07 | 0.035126 | 19.5718 |
| 150 | Timor-Leste | Oceania | Australia, Oceania | 0.000000 | 2.9 | 14.5525 | 0.2779 | 0.0000 | 0.1668 | 1.3007 | 1.3007 | 24.9 | 1.318000e+06 | 0.006070 | 17.8988 |
| 151 | Togo | Africa | Sub-Saharan Africa | 0.000954 | 7.1 | 3.3889 | 0.8918 | 0.0000 | 0.1516 | 0.0624 | 0.0624 | 16.1 | 8.279000e+06 | 0.065660 | 5.3063 |
| 152 | Trinidad and Tobago | Americas | Central America, Caribbean | 0.009861 | 19.7 | 11.3860 | 0.3430 | 0.0000 | 0.1799 | 0.3205 | 0.3205 | 5.5 | 1.369000e+06 | 0.556026 | 23.3455 |
| 153 | Tunisia | Africa | Middle East, North Africa, Greater Arabia | 0.060205 | 27.3 | 4.0323 | 0.2034 | 0.0000 | 0.7627 | 0.4068 | 0.4068 | 4.3 | 1.189600e+07 | 1.817216 | 12.7886 |
| 154 | Turkey | Europe | Middle East, North Africa, Greater Arabia | 0.031868 | 32.2 | 3.8475 | 0.3808 | 0.0000 | 0.6703 | 0.3292 | 0.3292 | <2.5 | 8.373700e+07 | 3.015138 | 13.6766 |
| 155 | Turkmenistan | Asia | Asia | NaN | 17.5 | 17.4764 | 0.0405 | 0.0000 | 0.4459 | 0.3069 | 0.3069 | 5.4 | 6.031000e+06 | NaN | 32.6886 |
| 156 | Uganda | Africa | Sub-Saharan Africa | 0.000715 | 4.1 | 6.1010 | 1.0411 | 0.0000 | 0.1567 | 0.7164 | 0.7164 | 41 | 4.574100e+07 | 0.087058 | 12.3139 |
| 157 | Ukraine | Europe | Europe | 0.059206 | 26.1 | 9.6350 | 0.0629 | 0.0000 | 0.5223 | 0.3084 | 0.3084 | 3.5 | 4.177800e+07 | 3.075923 | 26.9100 |
| 158 | United Arab Emirates | Asia | Middle East, North Africa, Greater Arabia | 0.009348 | 29.9 | 9.4610 | 1.0624 | 0.0000 | 0.4306 | 0.6766 | 0.6766 | 2.6 | 9.778000e+06 | 3.307445 | 21.4437 |
| 159 | United Kingdom | Europe | Europe | 0.167220 | 29.5 | 12.5789 | 0.0638 | 0.0000 | 0.2127 | 0.4219 | 0.4219 | <2.5 | 6.716000e+07 | 5.868483 | 25.8633 |
| 160 | United Republic of Tanzania | Africa | Sub-Saharan Africa | 0.000035 | 7.1 | 3.0140 | 1.0233 | 0.0000 | 0.2419 | 0.2698 | 0.2698 | 30.7 | 5.973400e+07 | 0.000852 | 7.5907 |
| 161 | United States of America | Americas | North America | 0.140103 | 37.3 | 9.4166 | 0.0449 | 0.0000 | 0.1944 | 0.4426 | 0.4426 | <2.5 | 3.298780e+08 | 8.159922 | 21.2045 |
| 162 | Uruguay | Americas | South America | 0.013622 | 28.9 | 12.2841 | 0.0729 | 0.0000 | 0.2096 | 0.1777 | 0.1777 | <2.5 | 3.531000e+06 | 1.269102 | 25.5069 |
| 163 | Uzbekistan | Asia | Asia | 0.001817 | 15.3 | 10.3624 | 0.0000 | 0.0000 | 0.8535 | 0.5830 | 0.5830 | 6.3 | 3.417400e+07 | 0.231302 | 25.9903 |
| 164 | Vanuatu | Oceania | Australia, Oceania | 0.000000 | 23.5 | 9.9334 | 0.0000 | 0.0000 | 0.1424 | 0.3052 | 0.3052 | 7.2 | 3.210000e+05 | 0.000312 | 14.9179 |
| 165 | Venezuela (Bolivarian Republic of) | Americas | South America | 0.004287 | 25.2 | 7.0949 | 0.1157 | 0.0000 | 0.1851 | 0.9640 | 0.9640 | 21.2 | 2.864500e+07 | 0.452585 | 16.3261 |
| 166 | Vietnam | Asia | Asia | 0.000036 | 2.1 | 26.4292 | 0.0765 | 0.0000 | 0.6373 | 0.4079 | 0.4079 | 9.3 | 9.620900e+07 | 0.002063 | 33.2484 |
| 167 | Yemen | Asia | Middle East, North Africa, Greater Arabia | 0.002062 | 14.1 | 8.0010 | 0.5001 | 0.0000 | 0.1667 | 0.2564 | 0.2564 | 38.9 | 2.982600e+07 | 0.007131 | 12.5401 |
| 168 | Zambia | Africa | Sub-Saharan Africa | 0.004564 | 6.5 | 4.9010 | 0.0783 | 0.0000 | 0.1567 | 0.1343 | 0.1343 | 46.7 | 1.838400e+07 | 0.334133 | 9.6005 |
| 169 | Zimbabwe | Africa | Sub-Saharan Africa | 0.008854 | 12.3 | 4.5674 | 0.1140 | 0.0000 | 0.0789 | 0.0614 | 0.0614 | 51.3 | 1.486300e+07 | 0.232033 | 10.3796 |
food_continent_data = food_regions_df[['Country', 'Continent', 'Region', 'Deaths', 'Obesity', 'Meat', 'Pulses', 'Sugar & Sweeteners', 'Vegetables', 'Fruits - Excluding Wine', 'Undernourished', 'Population',
'Confirmed', 'Animal Products', 'Treenuts']]
food_continent_data
| Country | Continent | Region | Deaths | Obesity | Meat | Pulses | Sugar & Sweeteners | Vegetables | Fruits - Excluding Wine | Fruits - Excluding Wine | Undernourished | Population | Confirmed | Animal Products | Treenuts | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Asia | Middle East, North Africa, Greater Arabia | 0.006186 | 4.5 | 1.2020 | 0.2953 | 1.3489 | 6.7642 | 5.3495 | 5.3495 | 29.8 | 3.892800e+07 | 0.142134 | 9.4341 | 0.0770 |
| 1 | Albania | Europe | Europe | 0.050951 | 22.3 | 1.8845 | 0.2380 | 1.5367 | 11.7753 | 6.7861 | 6.7861 | 6.2 | 2.838000e+06 | 2.967301 | 18.7684 | 0.1515 |
| 2 | Algeria | Africa | Middle East, North Africa, Greater Arabia | 0.006558 | 26.6 | 1.1305 | 0.4783 | 1.8342 | 11.6484 | 6.3801 | 6.3801 | 3.9 | 4.435700e+07 | 0.244897 | 9.6334 | 0.1152 |
| 3 | Angola | Africa | Sub-Saharan Africa | 0.001461 | 6.8 | 2.0571 | 0.6507 | 1.8495 | 2.3041 | 6.0005 | 6.0005 | 25 | 3.252200e+07 | 0.061687 | 4.9278 | 0.0061 |
| 4 | Antigua and Barbuda | Americas | Central America, Caribbean | 0.007143 | 19.1 | 5.6888 | 0.1840 | 3.8749 | 5.4495 | 10.7451 | 10.7451 | NaN | 9.800000e+04 | 0.293878 | 16.6613 | 0.0253 |
| 5 | Argentina | Americas | South America | 0.108227 | 28.5 | 7.0421 | 0.0528 | 3.0536 | 4.3503 | 6.0435 | 6.0435 | 4.6 | 4.537700e+07 | 4.356147 | 19.3454 | 0.0200 |
| 6 | Armenia | Europe | Europe | 0.105345 | 20.9 | 2.2675 | 0.1441 | 2.6579 | 16.7019 | 6.0989 | 6.0989 | 4.3 | 2.956000e+06 | 5.681225 | 13.5640 | 0.1108 |
| 7 | Australia | Oceania | Australia, Oceania | 0.003530 | 30.4 | 6.7049 | 0.0546 | 2.5364 | 5.1406 | 4.1883 | 4.1883 | <2.5 | 2.575400e+07 | 0.112025 | 21.4175 | 0.3176 |
| 8 | Austria | Europe | Europe | 0.089679 | 21.9 | 4.6810 | 0.0456 | 2.6094 | 5.1098 | 4.6069 | 4.6069 | <2.5 | 8.914000e+06 | 4.739982 | 19.5654 | 0.2367 |
| 9 | Azerbaijan | Europe | Middle East, North Africa, Greater Arabia | 0.031223 | 19.9 | 2.1513 | 0.0347 | 1.5523 | 10.0755 | 4.7988 | 4.7988 | <2.5 | 1.010800e+07 | 2.285536 | 11.6416 | 0.1906 |
| 10 | Bahamas | Americas | Central America, Caribbean | 0.044784 | 32.1 | 5.9269 | 0.0504 | 6.2151 | 7.7649 | 13.2718 | 13.2718 | NaN | 3.930000e+05 | 2.100763 | 11.4718 | 0.0495 |
| 11 | Bangladesh | Asia | Asia | 0.004823 | 3.4 | 0.4191 | 0.7065 | 0.9285 | 3.6405 | 2.8655 | 2.8655 | 14.7 | 1.698090e+08 | 0.316691 | 5.1926 | 0.0934 |
| 12 | Barbados | Americas | Central America, Caribbean | 0.006272 | 24.8 | 5.8477 | 0.6391 | 4.3344 | 5.4725 | 5.8723 | 5.8723 | 3.9 | 2.870000e+05 | 0.583972 | 12.4976 | 0.0852 |
| 13 | Belarus | Europe | Europe | 0.018912 | 26.6 | 4.1893 | 0.0010 | 4.0155 | 8.7859 | 3.5665 | 3.5665 | <2.5 | 9.375000e+06 | 2.740896 | 12.7089 | 0.1399 |
| 14 | Belgium | Europe | Europe | 0.185428 | 24.5 | 3.2370 | 0.1132 | 3.6514 | 6.8161 | 4.1623 | 4.1623 | <2.5 | 1.151500e+07 | 6.286322 | 17.7279 | 0.1309 |
| 15 | Belize | Americas | Central America, Caribbean | 0.073031 | 22.4 | 3.4890 | 1.1259 | 3.9798 | 4.7721 | 12.6094 | 12.6094 | 7.5 | 4.190000e+05 | 2.872792 | 8.6856 | 0.0340 |
| 16 | Benin | Africa | Sub-Saharan Africa | 0.000450 | 8.2 | 1.4107 | 0.7367 | 0.6635 | 4.1964 | 2.9523 | 2.9523 | 10.1 | 1.220900e+07 | 0.034344 | 3.7504 | 0.4028 |
| 17 | Bolivia | Americas | South America | 0.092435 | 18.7 | 6.4098 | 0.3654 | 2.5724 | 3.2224 | 7.5088 | 7.5088 | 17.1 | 1.163300e+07 | 1.952446 | 11.7799 | 0.7084 |
| 18 | Bosnia and Herzegovina | Europe | Europe | 0.145535 | 19.4 | 1.8165 | 0.2718 | 1.6391 | 11.6394 | 4.6409 | 4.6409 | <2.5 | 3.281000e+06 | 3.762085 | 12.4319 | 0.0822 |
| 19 | Botswana | Africa | Sub-Saharan Africa | 0.007035 | 16.1 | 2.2840 | 0.2729 | 4.7857 | 4.0558 | 2.8465 | 2.8465 | 26.4 | 2.317000e+06 | 1.014372 | 14.4486 | 0.0150 |
| 20 | Brazil | Americas | South America | 0.108603 | 22.3 | 6.4784 | 0.9254 | 2.7755 | 3.3070 | 6.0936 | 6.0936 | <2.5 | 2.118120e+08 | 4.460165 | 17.3470 | 0.0513 |
| 21 | Bulgaria | Europe | Europe | 0.134416 | 27.4 | 4.0073 | 0.1512 | 2.3627 | 6.2037 | 3.9812 | 3.9812 | 3.6 | 6.927000e+06 | 3.227256 | 17.2483 | 0.0797 |
| 22 | Burkina Faso | Africa | Sub-Saharan Africa | 0.000641 | 4.5 | 1.2029 | 1.4294 | 1.1287 | 1.5036 | 0.6596 | 0.6596 | 20 | 2.090300e+07 | 0.053710 | 4.6611 | 0.0712 |
| 23 | Cabo Verde | Africa | Sub-Saharan Africa | 0.024281 | 10.6 | 3.0725 | 1.1390 | 2.1396 | 6.6338 | 4.6402 | 4.6402 | 12.6 | 5.560000e+05 | 2.586331 | 9.7559 | 0.0258 |
| 24 | Cambodia | Asia | Asia | 0.000000 | 3.5 | 1.2247 | 0.4903 | 2.9923 | 3.0072 | 2.3184 | 2.3184 | 16.4 | 1.549700e+07 | 0.003059 | 6.0800 | 0.0238 |
| 25 | Cameroon | Africa | Sub-Saharan Africa | 0.001782 | 9.5 | 0.8760 | 1.4734 | 0.6479 | 8.8590 | 7.2151 | 7.2151 | 9.9 | 2.659800e+07 | 0.118031 | 2.9330 | 0.1324 |
| 26 | Canada | Americas | North America | 0.054203 | 31.3 | 4.4707 | 0.6304 | 5.0237 | 5.4961 | 5.0692 | 5.0692 | <2.5 | 3.819000e+07 | 2.109961 | 16.0365 | 0.1439 |
| 27 | Central African Republic | Africa | Sub-Saharan Africa | 0.001304 | 6.3 | 3.7346 | 0.8936 | 0.7022 | 1.9214 | 4.5543 | 4.5543 | 59.6 | 4.830000e+06 | 0.103292 | 6.9032 | 0.0000 |
| 28 | Chad | Africa | Sub-Saharan Africa | 0.000741 | 4.8 | 3.8543 | 1.4133 | 1.3449 | 0.9141 | 1.0669 | 1.0669 | 37.5 | 1.687700e+07 | 0.020578 | 12.2804 | 0.0000 |
| 29 | Chile | Americas | South America | 0.097047 | 28.8 | 6.1492 | 0.2677 | 3.5582 | 5.3092 | 3.9109 | 3.9109 | 2.7 | 1.947000e+07 | 3.842229 | 15.0394 | 0.1190 |
| 30 | China | Asia | Asia | 0.000344 | 6.6 | 6.0732 | 0.0704 | 3.1065 | 13.0990 | 4.2451 | 4.2451 | 8.5 | 1.402385e+09 | 0.007156 | 13.4240 | 0.2665 |
| 31 | Colombia | Americas | South America | 0.112639 | 22.1 | 3.5540 | 0.3503 | 4.7518 | 3.0981 | 11.3276 | 11.3276 | 4.8 | 4.944400e+07 | 4.350795 | 12.8210 | 0.0947 |
| 32 | Congo | Africa | Sub-Saharan Africa | 0.014516 | 8.4 | 3.2735 | 0.2408 | 1.3907 | 2.5520 | 4.0015 | 4.0015 | 40.3 | 5.518000e+06 | 0.571675 | 6.1258 | 0.0016 |
| 33 | Costa Rica | Americas | Central America, Caribbean | 0.052279 | 25.7 | 3.8631 | 0.8354 | 3.9006 | 2.9837 | 9.5203 | 9.5203 | 4.8 | 5.111000e+06 | 3.843436 | 18.6770 | 0.0397 |
| 34 | Cote d'Ivoire | Africa | Sub-Saharan Africa | 0.000619 | 9.0 | 0.9586 | 0.1727 | 0.7859 | 2.8098 | 4.8741 | 4.8741 | 19 | 2.617500e+07 | 0.112959 | 2.9144 | 0.5443 |
| 35 | Croatia | Europe | Europe | 0.127960 | 27.1 | 3.6945 | 0.0373 | 3.0880 | 12.5188 | 3.4094 | 3.4094 | <2.5 | 4.020000e+06 | 5.848905 | 17.3110 | 0.0761 |
| 36 | Cuba | Americas | Central America, Caribbean | 0.002065 | 26.7 | 3.2837 | 1.1336 | 3.1617 | 8.3740 | 9.0347 | 9.0347 | <2.5 | 1.128100e+07 | 0.283760 | 10.0096 | 0.0006 |
| 37 | Cyprus | Europe | Europe | 0.017481 | 22.6 | 5.3167 | 0.2110 | 4.2194 | 7.3888 | 6.1980 | 6.1980 | 5.6 | 1.207000e+06 | 2.621707 | 16.1736 | 0.1781 |
| 38 | Czechia | Europe | Europe | 0.159845 | 28.5 | 4.7618 | 0.1139 | 3.8081 | 4.5289 | 3.3962 | 3.3962 | <2.5 | 1.071600e+07 | 9.612841 | 17.8065 | 0.0477 |
| 39 | Denmark | Europe | Europe | 0.038017 | 21.3 | 3.6804 | 0.0369 | 2.8728 | 5.2431 | 3.1098 | 3.1098 | <2.5 | 5.829000e+06 | 3.463218 | 23.2141 | 0.1138 |
| 40 | Djibouti | Africa | Sub-Saharan Africa | 0.006377 | 12.2 | 1.7428 | 1.5724 | 4.2005 | 9.7637 | 3.2735 | 3.2735 | 18.9 | 9.880000e+05 | 0.601316 | 5.5215 | 0.0406 |
| 41 | Dominica | Americas | Central America, Caribbean | 0.000000 | 28.2 | 2.7820 | 0.2255 | 3.1738 | 4.6371 | 19.3028 | 19.3028 | 6.2 | 7.200000e+04 | 0.168056 | 8.9011 | 0.0035 |
| 42 | Dominican Republic | Americas | Central America, Caribbean | 0.026676 | 26.9 | 3.5009 | 0.5881 | 2.1332 | 2.7385 | 18.4431 | 18.4431 | 9.5 | 1.050000e+07 | 2.115695 | 11.2417 | 0.0108 |
| 43 | Ecuador | Americas | South America | 0.085683 | 19.3 | 4.0115 | 0.1570 | 1.7370 | 2.4981 | 8.0390 | 8.0390 | 7.9 | 1.751100e+07 | 1.468306 | 15.3469 | 0.0160 |
| 44 | Egypt | Africa | Middle East, North Africa, Greater Arabia | 0.009527 | 31.1 | 1.7583 | 0.3063 | 1.7984 | 10.6559 | 6.9387 | 6.9387 | 4.5 | 1.008030e+08 | 0.167759 | 6.7374 | 0.0268 |
| 45 | El Salvador | Americas | Central America, Caribbean | 0.025814 | 22.7 | 2.6337 | 1.4661 | 3.5260 | 7.2703 | 5.9517 | 5.9517 | 9 | 6.481000e+06 | 0.867721 | 12.8880 | 0.0155 |
| 46 | Estonia | Europe | Europe | 0.034260 | 23.8 | 3.0810 | 0.1472 | 2.3886 | 4.9558 | 3.5061 | 3.5061 | 2.9 | 1.331000e+06 | 3.569647 | 22.3154 | 0.0886 |
| 47 | Eswatini | Africa | Sub-Saharan Africa | 0.054710 | 13.5 | 2.5917 | 0.3578 | 3.1796 | 2.5701 | 8.5537 | 8.5537 | 20.6 | 1.104000e+06 | 1.465670 | 7.4118 | 0.0892 |
| 48 | Ethiopia | Africa | Sub-Saharan Africa | 0.001867 | 3.6 | 0.7462 | 3.0195 | 1.3170 | 1.8449 | 1.1774 | 1.1774 | 20.6 | 1.149160e+08 | 0.123093 | 5.2956 | 0.0802 |
| 49 | Fiji | Oceania | Australia, Oceania | 0.000223 | 30.0 | 3.0004 | 0.7746 | 9.7259 | 3.9255 | 2.1636 | 2.1636 | 3.7 | 8.960000e+05 | 0.006250 | 7.8511 | 0.0157 |
| 50 | Finland | Europe | Europe | 0.012443 | 24.9 | 3.4915 | 0.0533 | 1.8388 | 3.8325 | 3.1864 | 3.1864 | <2.5 | 5.529000e+06 | 0.854802 | 26.8865 | 0.0460 |
| 51 | France | Europe | Europe | 0.121558 | 23.2 | 4.4005 | 0.0991 | 2.6110 | 5.1223 | 4.8780 | 4.8780 | <2.5 | 6.494000e+07 | 5.199055 | 21.7097 | 0.2093 |
| 52 | French Polynesia | Oceania | Australia, Oceania | NaN | NaN | 7.0798 | 0.1452 | 2.8715 | 4.0992 | 4.3512 | 4.3512 | 4.2 | 2.800000e+05 | NaN | 14.3585 | 0.0405 |
| 53 | Gabon | Africa | Sub-Saharan Africa | 0.003182 | 13.4 | 4.3200 | 0.0139 | 1.2508 | 2.3979 | 9.0341 | 9.0341 | 10.5 | 2.231000e+06 | 0.513537 | 8.1825 | 0.0051 |
| 54 | Gambia | Africa | Sub-Saharan Africa | 0.005544 | 8.7 | 1.1134 | 0.1281 | 4.1176 | 2.4575 | 0.8742 | 0.8742 | 10.2 | 2.417000e+06 | 0.175300 | 10.1417 | 0.0897 |
| 55 | Georgia | Europe | Europe | 0.087995 | 23.3 | 2.6217 | 0.0025 | 3.3110 | 4.0993 | 3.1735 | 3.1735 | 7.9 | 3.715000e+06 | 7.042261 | 15.5347 | 0.1631 |
| 56 | Germany | Europe | Europe | 0.073891 | 25.7 | 4.6524 | 0.0419 | 2.5070 | 5.0542 | 3.6131 | 3.6131 | <2.5 | 8.330000e+07 | 2.743101 | 20.8485 | 0.1903 |
| 57 | Ghana | Africa | Sub-Saharan Africa | 0.001445 | 9.7 | 0.8069 | 0.3920 | 0.8128 | 1.6849 | 10.4274 | 10.4274 | 5.5 | 3.107300e+07 | 0.225424 | 2.8956 | 0.0364 |
| 58 | Greece | Europe | Europe | 0.055617 | 27.4 | 3.7836 | 0.2539 | 1.7744 | 7.9134 | 6.3296 | 6.3296 | <2.5 | 1.070000e+07 | 1.525355 | 17.6914 | 0.6676 |
| 59 | Grenada | Americas | Central America, Caribbean | 0.000885 | 20.2 | 5.6546 | 0.6417 | 5.4480 | 3.6085 | 11.0608 | 11.0608 | NaN | 1.130000e+05 | 0.130973 | 12.1319 | 0.0143 |
| 60 | Guatemala | Americas | Central America, Caribbean | 0.032403 | 18.8 | 3.9589 | 1.6504 | 5.3058 | 5.7997 | 6.7124 | 6.7124 | 15.2 | 1.806600e+07 | 0.901899 | 10.3765 | 0.1980 |
| 61 | Guinea | Africa | Sub-Saharan Africa | 0.000669 | 6.6 | 1.1561 | 0.3925 | 1.3368 | 4.4286 | 7.9395 | 7.9395 | 16.5 | 1.256000e+07 | 0.116760 | 3.8776 | 0.0009 |
| 62 | Guinea-Bissau | Africa | Sub-Saharan Africa | 0.002387 | 8.2 | 2.2155 | 0.2499 | 0.7893 | 2.3642 | 6.3660 | 6.3660 | 28 | 1.927000e+06 | 0.143851 | 4.9295 | 0.4485 |
| 63 | Guyana | Americas | South America | 0.022872 | 19.2 | 2.5237 | 0.3907 | 3.2325 | 15.2061 | 5.7954 | 5.7954 | 8.1 | 7.870000e+05 | 1.008767 | 9.1155 | 0.0435 |
| 64 | Haiti | Americas | Central America, Caribbean | 0.002149 | 20.5 | 1.9687 | 2.0067 | 2.0961 | 2.0302 | 12.0278 | 12.0278 | 49.3 | 1.140300e+07 | 0.103113 | 3.5986 | 0.0000 |
| 65 | Honduras | Americas | Central America, Caribbean | 0.037612 | 19.4 | 3.5080 | 1.3962 | 5.9591 | 2.6599 | 6.8464 | 6.8464 | 12.9 | 9.864000e+06 | 1.560270 | 13.6048 | 0.0276 |
| 66 | Hungary | Europe | Europe | 0.133367 | 28.6 | 5.2042 | 0.1906 | 2.5433 | 5.6788 | 3.0852 | 3.0852 | <2.5 | 9.767000e+06 | 3.840739 | 20.0268 | 0.0183 |
| 67 | Iceland | Europe | Europe | 0.007880 | 23.1 | 4.6269 | 0.0376 | 3.9472 | 3.6874 | 4.8405 | 4.8405 | <2.5 | 3.680000e+05 | 1.636141 | 23.9700 | 0.0752 |
| 68 | India | Asia | Asia | 0.011070 | 3.8 | 0.3560 | 1.5709 | 1.7471 | 7.5213 | 5.4333 | 5.4333 | 14.5 | 1.400100e+09 | 0.773256 | 11.3357 | 0.1526 |
| 69 | Indonesia | Asia | Asia | 0.011553 | 6.9 | 1.0316 | 0.0988 | 1.8481 | 3.8558 | 5.5134 | 5.5134 | 8.3 | 2.717390e+08 | 0.422100 | 6.2575 | 0.0564 |
| 70 | Iran (Islamic Republic of) | Asia | Middle East, North Africa, Greater Arabia | 0.069414 | 25.5 | 2.3965 | 0.4729 | 2.1980 | 12.5207 | 7.9235 | 7.9235 | 4.9 | 8.415000e+07 | 1.734248 | 7.9295 | 0.6421 |
| 71 | Iraq | Asia | Middle East, North Africa, Greater Arabia | 0.033004 | 27.4 | 2.5171 | 0.4807 | 3.3755 | 4.9563 | 6.4975 | 6.4975 | 29 | 3.972500e+07 | 1.579398 | 6.2809 | 0.1268 |
| 72 | Ireland | Europe | Europe | 0.073436 | 26.9 | 4.0102 | 0.1325 | 4.0147 | 4.9510 | 3.3996 | 3.3996 | <2.5 | 5.003000e+06 | 4.048531 | 18.5712 | 0.0836 |
| 73 | Israel | Asia | Middle East, North Africa, Greater Arabia | 0.055024 | 26.7 | 5.5003 | 0.3640 | 1.7747 | 8.8586 | 6.3746 | 6.3746 | <2.5 | 9.216000e+06 | 7.439052 | 18.7463 | 0.2262 |
| 74 | Italy | Europe | Europe | 0.150927 | 22.9 | 4.2963 | 0.2781 | 1.7175 | 6.9463 | 6.0207 | 6.0207 | <2.5 | 6.029600e+07 | 4.353685 | 19.0329 | 0.4230 |
| 75 | Jamaica | Americas | Central America, Caribbean | 0.012709 | 24.4 | 4.3372 | 0.2177 | 4.6889 | 6.4772 | 8.0661 | 8.0661 | 8 | 2.809000e+06 | 0.599537 | 11.9958 | 0.0110 |
| 76 | Japan | Asia | Asia | 0.005059 | 4.4 | 4.2599 | 0.1287 | 2.2055 | 7.8669 | 2.8618 | 2.8618 | <2.5 | 1.259670e+08 | 0.320821 | 15.3194 | 0.0812 |
| 77 | Jordan | Asia | Middle East, North Africa, Greater Arabia | 0.040912 | 33.4 | 3.8651 | 0.6393 | 4.7276 | 10.6308 | 4.6624 | 4.6624 | 12.2 | 1.067900e+07 | 3.126276 | 9.3186 | 0.1652 |
| 78 | Kazakhstan | Asia | Asia | 0.016651 | 21.3 | 3.4501 | 0.0255 | 1.4560 | 10.2055 | 3.2145 | 3.2145 | <2.5 | 1.873200e+07 | 1.299402 | 19.1598 | 0.0845 |
| 79 | Kenya | Africa | Sub-Saharan Africa | 0.003318 | 6.0 | 1.7336 | 1.7510 | 1.8098 | 4.3450 | 4.6941 | 4.6941 | 29.4 | 5.352800e+07 | 0.189975 | 11.4394 | 0.0892 |
| 80 | Kiribati | Oceania | Australia, Oceania | NaN | 45.6 | 2.3856 | 0.0032 | 4.1373 | 4.1389 | 5.8907 | 5.8907 | 2.7 | 1.250000e+05 | NaN | 8.8958 | 0.1951 |
| 81 | Korea, North | Asia | Asia | NaN | 7.1 | 1.3872 | 1.1000 | 0.3694 | 12.8082 | 6.1383 | 6.1383 | 47.8 | 2.577900e+07 | NaN | 3.3933 | 0.0426 |
| 82 | Korea, South | Asia | Asia | 0.002841 | 4.9 | 4.4239 | 0.0720 | 2.4835 | 12.3349 | 3.6993 | 3.6993 | <2.5 | 5.178100e+07 | 0.156227 | 11.8174 | 0.1664 |
| 83 | Kuwait | Asia | Middle East, North Africa, Greater Arabia | 0.020550 | 37.0 | 4.8770 | 0.4353 | 2.9163 | 12.9953 | 5.3058 | 5.3058 | 2.8 | 4.691000e+06 | 3.624728 | 10.7213 | 0.1512 |
| 84 | Kyrgyzstan | Asia | Asia | 0.021580 | 15.4 | 1.8707 | 0.3439 | 3.2495 | 11.3219 | 2.2846 | 2.2846 | 7.1 | 6.594000e+06 | 1.288929 | 15.4588 | 0.1449 |
| 85 | Lao People's Democratic Republic | Asia | Asia | 0.000000 | 4.5 | 1.7111 | 0.1485 | 1.1101 | 11.6410 | 8.8158 | 8.8158 | 16.5 | 7.242000e+06 | 0.000621 | 3.6579 | 0.0028 |
| 86 | Latvia | Europe | Europe | 0.069769 | 25.7 | 3.6559 | 0.0032 | 2.6169 | 6.1946 | 2.5738 | 2.5738 | <2.5 | 1.902000e+06 | 3.749737 | 18.8216 | 0.0793 |
| 87 | Lebanon | Asia | Middle East, North Africa, Greater Arabia | 0.052190 | 31.3 | 1.9469 | 0.5011 | 5.1366 | 10.5128 | 6.9852 | 6.9852 | 11 | 6.825000e+06 | 4.656938 | 8.0679 | 0.5271 |
| 88 | Lesotho | Africa | Sub-Saharan Africa | 0.008543 | 13.5 | 2.5290 | 1.1603 | 2.2079 | 3.3721 | 1.8065 | 1.8065 | 13.1 | 2.142000e+06 | 0.437908 | 6.0914 | 0.0052 |
| 89 | Liberia | Africa | Sub-Saharan Africa | 0.001661 | 8.6 | 2.4123 | 0.0977 | 1.1236 | 3.1728 | 5.3606 | 5.3606 | 37.2 | 5.058000e+06 | 0.038671 | 3.7603 | 0.0779 |
| 90 | Lithuania | Europe | Europe | 0.104760 | 28.4 | 3.7899 | 0.4388 | 4.5020 | 4.4045 | 2.4007 | 2.4007 | <2.5 | 2.794000e+06 | 6.667072 | 23.0490 | 0.0550 |
| 91 | Luxembourg | Europe | Europe | 0.093354 | 24.2 | 4.0469 | 0.0399 | 8.1121 | 4.8536 | 4.4841 | 4.4841 | <2.5 | 6.320000e+05 | 8.150633 | 14.6038 | 0.0308 |
| 92 | Madagascar | Africa | Sub-Saharan Africa | 0.001015 | 4.5 | 1.4618 | 0.3708 | 1.0922 | 1.8871 | 5.0701 | 5.0701 | 44.4 | 2.769100e+07 | 0.068849 | 4.9125 | 0.0261 |
| 93 | Malawi | Africa | Sub-Saharan Africa | 0.004375 | 4.7 | 1.4923 | 1.1841 | 0.6412 | 3.9786 | 8.4723 | 8.4723 | 17.5 | 1.913000e+07 | 0.140486 | 2.7754 | 0.0161 |
| 94 | Malaysia | Asia | Asia | 0.002614 | 15.3 | 4.9092 | 0.2617 | 3.9030 | 6.1678 | 4.1713 | 4.1713 | 2.5 | 3.278100e+07 | 0.728230 | 12.6354 | 0.0835 |
| 95 | Maldives | Asia | Asia | 0.009982 | 7.9 | 2.0051 | 0.0808 | 2.9790 | 7.7180 | 6.0777 | 6.0777 | 10.3 | 5.410000e+05 | 3.078743 | 14.2704 | 0.7569 |
| 96 | Mali | Africa | Sub-Saharan Africa | 0.001669 | 7.1 | 1.9124 | 0.7955 | 0.8811 | 7.2943 | 3.8991 | 3.8991 | 6.3 | 2.025100e+07 | 0.040294 | 10.1637 | 0.2374 |
| 97 | Malta | Europe | Europe | 0.053448 | 31.0 | 4.6096 | 0.2197 | 5.2164 | 11.2856 | 4.6310 | 4.6310 | <2.5 | 5.220000e+05 | 3.558621 | 13.6092 | 0.1236 |
| 98 | Mauritania | Africa | Sub-Saharan Africa | 0.009140 | 11.3 | 3.3994 | 1.0999 | 4.3166 | 3.9784 | 1.2991 | 1.2991 | 10.4 | 4.650000e+06 | 0.361118 | 15.0193 | 0.0000 |
| 99 | Mauritius | Africa | Sub-Saharan Africa | 0.000791 | 11.5 | 4.6992 | 0.8560 | 3.5680 | 6.7122 | 3.5680 | 3.5680 | 6.5 | 1.265000e+06 | 0.046166 | 9.2700 | 0.0369 |
| 100 | Mexico | Americas | North America | 0.129731 | 28.4 | 4.3561 | 0.7071 | 3.2266 | 5.0713 | 7.6794 | 7.6794 | 3.6 | 1.277920e+08 | 1.507199 | 15.1527 | 0.1121 |
| 101 | Mongolia | Asia | Asia | 0.000060 | 19.6 | 8.0929 | 0.0366 | 1.4680 | 4.3326 | 1.0413 | 1.0413 | 13.4 | 3.361000e+06 | 0.060190 | 25.8904 | 0.0137 |
| 102 | Montenegro | Europe | Europe | 0.134405 | 24.9 | 3.3604 | 0.2113 | 6.0418 | 5.0001 | 5.7297 | 5.7297 | <2.5 | 6.220000e+05 | 10.408199 | 22.8328 | 0.0948 |
| 103 | Morocco | Africa | Middle East, North Africa, Greater Arabia | 0.023312 | 25.6 | 2.5074 | 0.3306 | 2.6816 | 7.2860 | 7.2110 | 7.2110 | 3.4 | 3.595200e+07 | 1.321111 | 8.4754 | 0.2549 |
| 104 | Mozambique | Africa | Sub-Saharan Africa | 0.001447 | 6.0 | 0.9302 | 1.2809 | 1.0649 | 2.7738 | 2.8312 | 2.8312 | 27.9 | 3.116600e+07 | 0.141539 | 4.0111 | 0.2011 |
| 105 | Myanmar | Asia | Asia | NaN | 5.7 | 4.9753 | 1.2806 | 2.8592 | 7.0725 | 4.0287 | 4.0287 | 10.6 | 5.470400e+07 | NaN | 13.5188 | 0.2913 |
| 106 | Namibia | Africa | Sub-Saharan Africa | 0.014601 | 15.0 | 2.6844 | 0.7298 | 3.9848 | 2.3626 | 3.1266 | 3.1266 | 27.3 | 2.541000e+06 | 1.371271 | 9.6094 | 0.0114 |
| 107 | Nepal | Asia | Asia | 0.006784 | 3.8 | 0.9817 | 0.9107 | 0.5470 | 9.2770 | 4.7443 | 4.7443 | 8.7 | 2.999600e+07 | 0.906141 | 5.4355 | 0.0978 |
| 108 | Netherlands | Europe | Europe | 0.082830 | 23.1 | 4.0105 | 0.0852 | 2.3446 | 3.2587 | 4.9230 | 4.9230 | <2.5 | 1.746700e+07 | 5.815292 | 24.2977 | 0.1587 |
| 109 | New Caledonia | Oceania | Australia, Oceania | NaN | NaN | 5.8687 | 0.1275 | 3.1901 | 5.5941 | 5.5855 | 5.5855 | 7.1 | 2.950000e+05 | NaN | 11.7818 | 0.0376 |
| 110 | New Zealand | Oceania | Australia, Oceania | 0.000501 | 32.0 | 6.8421 | 0.2414 | 3.8188 | 6.6889 | 4.0202 | 4.0202 | <2.5 | 4.987000e+06 | 0.046521 | 17.5777 | 0.1499 |
| 111 | Nicaragua | Americas | Central America, Caribbean | 0.002577 | 21.8 | 3.1044 | 1.3618 | 5.7021 | 3.5808 | 3.8377 | 3.8377 | 17 | 6.596000e+06 | 0.095497 | 13.1538 | 0.0030 |
| 112 | Niger | Africa | Sub-Saharan Africa | 0.000682 | 4.7 | 1.2702 | 3.4838 | 0.3666 | 10.6117 | 2.5503 | 2.5503 | 16.5 | 2.418900e+07 | 0.019009 | 7.2385 | 0.0000 |
| 113 | Nigeria | Africa | Sub-Saharan Africa | 0.000799 | 7.8 | 0.5675 | 0.8311 | 0.6501 | 6.2627 | 4.4268 | 4.4268 | 13.4 | 2.061400e+08 | 0.067547 | 1.7391 | 0.0841 |
| 114 | North Macedonia | Europe | Europe | 0.140192 | 23.9 | 2.0683 | 0.2847 | 2.9104 | 14.5512 | 5.0893 | 5.0893 | 3.2 | 2.080000e+06 | 4.548029 | 12.0639 | 0.1796 |
| 115 | Norway | Europe | Europe | 0.010804 | 25.0 | 3.6083 | 0.3204 | 2.2652 | 3.9131 | 4.2801 | 4.2801 | <2.5 | 5.387000e+06 | 1.200167 | 21.1992 | 0.0990 |
| 116 | Oman | Asia | Middle East, North Africa, Greater Arabia | 0.032506 | 22.9 | 3.0531 | 0.2776 | 2.5903 | 10.8902 | 9.7870 | 9.7870 | 6.8 | 4.713000e+06 | 2.865288 | 13.5101 | 0.0521 |
| 117 | Pakistan | Asia | Middle East, North Africa, Greater Arabia | 0.005416 | 7.8 | 1.7957 | 0.6993 | 2.6707 | 2.2173 | 2.4099 | 2.4099 | 20.3 | 2.209400e+08 | 0.250961 | 22.2758 | 0.0852 |
| 118 | Panama | Americas | Central America, Caribbean | 0.127364 | 22.5 | 4.9800 | 0.4129 | 4.2277 | 1.9480 | 6.6783 | 6.6783 | 10 | 4.283000e+06 | 7.622321 | 12.3346 | 0.0360 |
| 119 | Paraguay | Americas | South America | 0.038691 | 19.0 | 4.0434 | 0.6185 | 2.4084 | 3.7113 | 5.4532 | 5.4532 | 10.7 | 7.255000e+06 | 1.896664 | 11.2654 | 0.0015 |
| 120 | Peru | Americas | South America | 0.127751 | 19.1 | 1.7540 | 0.6367 | 1.7339 | 4.8044 | 8.5783 | 8.5783 | 9.7 | 3.282400e+07 | 3.573742 | 8.6638 | 0.0230 |
| 121 | Philippines | Asia | Asia | 0.010139 | 6.0 | 3.2257 | 0.1106 | 2.3774 | 5.4481 | 8.5466 | 8.5466 | 13.3 | 1.095810e+08 | 0.488699 | 6.7108 | 0.1838 |
| 122 | Poland | Europe | Europe | 0.101632 | 25.6 | 4.8500 | 0.1099 | 2.4775 | 6.8655 | 3.0079 | 3.0079 | <2.5 | 3.836800e+07 | 4.028175 | 16.5590 | 0.0476 |
| 123 | Portugal | Europe | Europe | 0.136070 | 23.2 | 4.5168 | 0.1618 | 1.7316 | 7.3366 | 6.5126 | 6.5126 | <2.5 | 1.025500e+07 | 7.429605 | 18.6614 | 0.2319 |
| 124 | Republic of Moldova | Europe | Europe | 0.099859 | 20.1 | 3.2622 | 0.0642 | 2.6632 | 6.4285 | 3.4256 | 3.4256 | NaN | 3.535000e+06 | 4.646195 | 16.5343 | 0.0180 |
| 125 | Romania | Europe | Europe | 0.097755 | 24.5 | 3.0499 | 0.1045 | 1.4126 | 9.3641 | 4.2115 | 4.2115 | <2.5 | 1.924100e+07 | 3.863328 | 15.9287 | 0.1093 |
| 126 | Russian Federation | Europe | Europe | 0.051120 | 25.7 | 4.3180 | 0.1426 | 4.6144 | 6.3713 | 3.1620 | 3.1620 | <2.5 | 1.467330e+08 | 2.663104 | 16.1525 | 0.0118 |
| 127 | Rwanda | Africa | Sub-Saharan Africa | 0.001675 | 4.8 | 0.6257 | 2.5036 | 0.5782 | 2.7193 | 15.7285 | 15.7285 | 36.8 | 1.295200e+07 | 0.126135 | 2.6366 | 0.0000 |
| 128 | Saint Kitts and Nevis | Americas | Central America, Caribbean | 0.000000 | 23.1 | 7.8207 | 0.5422 | 6.4623 | 4.2090 | 7.5449 | 7.5449 | NaN | 5.400000e+04 | 0.074074 | 14.0252 | 0.0673 |
| 129 | Saint Lucia | Americas | Central America, Caribbean | 0.009890 | 19.8 | 8.1700 | 0.5663 | 3.7043 | 4.1169 | 5.9453 | 5.9453 | NaN | 1.820000e+05 | 0.996154 | 14.8893 | 0.0575 |
| 130 | Saint Vincent and the Grenadines | Americas | Central America, Caribbean | 0.002703 | 23.8 | 6.9184 | 0.6452 | 3.4592 | 5.1371 | 10.4710 | 10.4710 | 5.7 | 1.110000e+05 | 1.082883 | 11.0865 | 0.0357 |
| 131 | Samoa | Oceania | Australia, Oceania | 0.000000 | 45.5 | 5.7993 | 0.0000 | 2.0811 | 1.1656 | 10.7845 | 10.7845 | 2.7 | 2.000000e+05 | 0.001000 | 11.1630 | 0.0108 |
| 132 | Sao Tome and Principe | Africa | Sub-Saharan Africa | 0.008571 | 10.6 | 1.2054 | 0.3109 | 2.5939 | 0.8570 | 18.2736 | 18.2736 | 7 | 2.100000e+05 | 0.643333 | 4.1199 | 0.0024 |
| 133 | Saudi Arabia | Asia | Middle East, North Africa, Greater Arabia | 0.018256 | 35.0 | 4.9529 | 0.4768 | 2.8571 | 5.7024 | 7.0413 | 7.0413 | 7.1 | 3.504100e+07 | 1.055795 | 12.9962 | 0.1135 |
| 134 | Senegal | Africa | Sub-Saharan Africa | 0.004031 | 7.4 | 1.6081 | 0.4712 | 2.0941 | 7.8951 | 2.3456 | 2.3456 | 11.3 | 1.674400e+07 | 0.170145 | 5.3434 | 0.1047 |
| 135 | Serbia | Europe | Europe | 0.059106 | 23.5 | 3.5893 | 0.1805 | 2.0255 | 7.3941 | 5.9753 | 5.9753 | 5.7 | 6.957000e+06 | 5.840908 | 16.7466 | 0.1268 |
| 136 | Sierra Leone | Africa | Sub-Saharan Africa | 0.000990 | 7.5 | 0.7837 | 0.8913 | 0.6323 | 4.5526 | 3.2119 | 3.2119 | 25.6 | 7.977000e+06 | 0.047286 | 5.6877 | 0.1000 |
| 137 | Slovakia | Europe | Europe | 0.094013 | 22.4 | 4.3096 | 0.0973 | 5.5166 | 4.5601 | 3.5463 | 3.5463 | 3.4 | 5.462000e+06 | 4.792640 | 18.9841 | 0.1118 |
| 138 | Slovenia | Europe | Europe | 0.171755 | 22.5 | 4.1610 | 0.1106 | 2.4915 | 5.0020 | 6.4367 | 6.4367 | <2.5 | 2.103000e+06 | 8.235901 | 18.9196 | 0.1972 |
| 139 | Solomon Islands | Oceania | Australia, Oceania | 0.000000 | 20.5 | 0.8897 | 0.7366 | 0.8268 | 1.1223 | 3.2798 | 3.2798 | 8.9 | 7.150000e+05 | 0.002378 | 3.8504 | 0.0356 |
| 140 | South Africa | Africa | Sub-Saharan Africa | 0.077447 | 27.0 | 5.3933 | 0.1546 | 4.4677 | 3.7632 | 1.9355 | 1.9355 | 6.2 | 5.962800e+07 | 2.471490 | 11.8433 | 0.0108 |
| 141 | Spain | Europe | Europe | 0.128867 | 27.1 | 5.3456 | 0.2666 | 1.8482 | 7.8139 | 4.8332 | 4.8332 | <2.5 | 4.763500e+07 | 6.176110 | 18.3382 | 0.4287 |
| 142 | Sri Lanka | Asia | Asia | 0.001600 | 5.4 | 0.8845 | 0.9608 | 2.7209 | 4.8753 | 4.1171 | 4.1171 | 9 | 2.193700e+07 | 0.312604 | 5.5328 | 0.1350 |
| 143 | Sudan | Africa | Sub-Saharan Africa | 0.004176 | 7.4 | 2.1133 | 1.0631 | 3.1231 | 8.3477 | 7.0919 | 7.0919 | 20.1 | 4.384900e+07 | 0.067582 | 13.1178 | 0.0000 |
| 144 | Suriname | Americas | South America | 0.026446 | 26.5 | 3.6451 | 0.1719 | 4.7051 | 5.3705 | 8.6872 | 8.6872 | 8.5 | 6.050000e+05 | 1.429752 | 6.7984 | 0.0155 |
| 145 | Sweden | Europe | Europe | 0.116749 | 22.1 | 4.1476 | 0.0937 | 2.5211 | 4.6110 | 3.5405 | 3.5405 | <2.5 | 1.037700e+07 | 5.666975 | 24.0627 | 0.0996 |
| 146 | Switzerland | Europe | Europe | 0.111258 | 21.2 | 3.6314 | 0.0995 | 2.9737 | 4.9478 | 4.6041 | 4.6041 | <2.5 | 8.634000e+06 | 6.160215 | 22.4227 | 0.2377 |
| 147 | Taiwan* | Asia | Asia | 0.000038 | NaN | 6.0558 | 0.2077 | 2.3455 | 9.1938 | 8.3904 | 8.3904 | 3.5 | 2.361000e+07 | 0.003914 | 12.1312 | 0.4185 |
| 148 | Tajikistan | Asia | Asia | 0.000955 | 12.6 | 1.5221 | 0.2486 | 1.6607 | 19.2995 | 3.7863 | 3.7863 | NaN | 9.429000e+06 | 0.141139 | 7.2363 | 0.0582 |
| 149 | Thailand | Asia | Asia | 0.000119 | 10.8 | 2.4675 | 0.2344 | 4.0424 | 3.5962 | 8.3291 | 8.3291 | 7.8 | 6.653400e+07 | 0.035126 | 7.7828 | 0.0938 |
| 150 | Timor-Leste | Oceania | Australia, Oceania | 0.000000 | 2.9 | 4.0376 | 0.9098 | 2.8203 | 3.1867 | 2.1027 | 2.1027 | 24.9 | 1.318000e+06 | 0.006070 | 5.4983 | 0.0013 |
| 151 | Togo | Africa | Sub-Saharan Africa | 0.000954 | 7.1 | 1.4133 | 1.7626 | 1.8312 | 2.1637 | 0.9100 | 0.9100 | 16.1 | 8.279000e+06 | 0.065660 | 3.6702 | 0.0000 |
| 152 | Trinidad and Tobago | Americas | Central America, Caribbean | 0.009861 | 19.7 | 6.7063 | 0.8939 | 5.6200 | 3.5256 | 4.9733 | 4.9733 | 5.5 | 1.369000e+06 | 0.556026 | 12.7835 | 0.0928 |
| 153 | Tunisia | Africa | Middle East, North Africa, Greater Arabia | 0.060205 | 27.3 | 1.6411 | 0.4311 | 2.0832 | 15.7731 | 5.4307 | 5.4307 | 4.3 | 1.189600e+07 | 1.817216 | 9.6312 | 0.3489 |
| 154 | Turkey | Europe | Middle East, North Africa, Greater Arabia | 0.031868 | 32.2 | 2.0694 | 0.6820 | 1.7004 | 13.5284 | 6.8321 | 6.8321 | <2.5 | 8.373700e+07 | 3.015138 | 12.3156 | 0.4664 |
| 155 | Turkmenistan | Asia | Asia | NaN | 17.5 | 4.3767 | 0.1032 | 0.6746 | 10.4014 | 4.1441 | 4.1441 | 5.4 | 6.031000e+06 | NaN | 16.0611 | 0.0283 |
| 156 | Uganda | Africa | Sub-Saharan Africa | 0.000715 | 4.1 | 0.8978 | 2.3942 | 1.2601 | 2.6703 | 11.3112 | 11.3112 | 41 | 4.574100e+07 | 0.087058 | 5.6473 | 0.0000 |
| 157 | Ukraine | Europe | Europe | 0.059206 | 26.1 | 2.7425 | 0.1099 | 3.8811 | 9.4361 | 2.9418 | 2.9418 | 3.5 | 4.177800e+07 | 3.075923 | 13.1214 | 0.0807 |
| 158 | United Arab Emirates | Asia | Middle East, North Africa, Greater Arabia | 0.009348 | 29.9 | 4.9400 | 2.1108 | 3.6576 | 8.2695 | 8.1938 | 8.1938 | 2.6 | 9.778000e+06 | 3.307445 | 10.5491 | 0.5838 |
| 159 | United Kingdom | Europe | Europe | 0.167220 | 29.5 | 4.4181 | 0.2035 | 2.4383 | 4.5851 | 4.9551 | 4.9551 | <2.5 | 6.716000e+07 | 5.868483 | 18.8798 | 0.0901 |
| 160 | United Republic of Tanzania | Africa | Sub-Saharan Africa | 0.000035 | 7.1 | 0.7902 | 2.1761 | 1.0345 | 3.9520 | 6.8147 | 6.8147 | 30.7 | 5.973400e+07 | 0.000852 | 4.8022 | 0.0420 |
| 161 | United States of America | Americas | North America | 0.140103 | 37.3 | 6.2645 | 0.1893 | 3.3200 | 5.7249 | 4.5432 | 4.5432 | <2.5 | 3.298780e+08 | 8.159922 | 21.2352 | 0.1772 |
| 162 | Uruguay | Americas | South America | 0.013622 | 28.9 | 3.7863 | 0.1936 | 3.4102 | 3.9333 | 5.3746 | 5.3746 | <2.5 | 3.531000e+06 | 1.269102 | 17.8865 | 0.0131 |
| 163 | Uzbekistan | Asia | Asia | 0.001817 | 15.3 | 1.8621 | 0.0022 | 0.5796 | 14.8354 | 5.2150 | 5.2150 | 6.3 | 3.417400e+07 | 0.231302 | 14.4463 | 0.0649 |
| 164 | Vanuatu | Oceania | Australia, Oceania | 0.000000 | 23.5 | 2.7466 | 0.0008 | 1.3645 | 3.9175 | 5.8103 | 5.8103 | 7.2 | 3.210000e+05 | 0.000312 | 6.6244 | 0.0038 |
| 165 | Venezuela (Bolivarian Republic of) | Americas | South America | 0.004287 | 25.2 | 3.8328 | 0.3342 | 3.4106 | 4.1474 | 7.6460 | 7.6460 | 21.2 | 2.864500e+07 | 0.452585 | 14.7565 | 0.0009 |
| 166 | Vietnam | Asia | Asia | 0.000036 | 2.1 | 4.4382 | 0.2032 | 1.2846 | 11.9508 | 5.9029 | 5.9029 | 9.3 | 9.620900e+07 | 0.002063 | 8.5765 | 0.3070 |
| 167 | Yemen | Asia | Middle East, North Africa, Greater Arabia | 0.002062 | 14.1 | 2.7871 | 0.8645 | 5.0468 | 3.2135 | 5.1344 | 5.1344 | 38.9 | 2.982600e+07 | 0.007131 | 5.7874 | 0.0017 |
| 168 | Zambia | Africa | Sub-Saharan Africa | 0.004564 | 6.5 | 1.8427 | 0.1756 | 1.5632 | 3.4649 | 1.0183 | 1.0183 | 46.7 | 1.838400e+07 | 0.334133 | 6.0197 | 0.0014 |
| 169 | Zimbabwe | Africa | Sub-Saharan Africa | 0.008854 | 12.3 | 2.6142 | 0.4261 | 4.6485 | 2.3213 | 2.2000 | 2.2000 | 51.3 | 1.486300e+07 | 0.232033 | 8.1489 | 0.0518 |
fig = px.violin(continent_data, x = 'Continent', y='Deaths', points = 'all', color = 'Continent', box = True)
fig.update_layout(
title_text='Covid Death Percentage compared by each Continent of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(continent_data, x = 'Continent', y='Obesity', points = 'all', color = 'Continent', box = True)
fig.update_layout(
title_text='Obesity Percentage compared by each Continent of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
Interaction Terms: Continent, Covid Deaths, and Obesity
# Allow for the region variable to be treated categorically by encoding categorical variables without affecting model
# The : says that we have a possible interaction between Region and Obesity that we would like to explore and that
# Covid Deaths are different based on Obesity from different Continents
model = smf.ols(formula='Deaths ~ Obesity + C(Continent) + C(Continent):Obesity', data=continent_data).fit()
summary = model.summary()
print(summary)
print("\n" + "Parameters:", model.params)
print("\n" + "R-Squared: ", model.rsquared)
OLS Regression Results
==============================================================================
Dep. Variable: Deaths R-squared: 0.524
Model: OLS Adj. R-squared: 0.496
Method: Least Squares F-statistic: 18.72
Date: Tue, 14 Dec 2021 Prob (F-statistic): 8.77e-21
Time: 17:13:16 Log-Likelihood: 322.08
No. Observations: 163 AIC: -624.2
Df Residuals: 153 BIC: -593.2
Df Model: 9
Covariance Type: nonrobust
====================================================================================================
coef std err t P>|t| [0.025 0.975]
----------------------------------------------------------------------------------------------------
Intercept -0.0071 0.010 -0.744 0.458 -0.026 0.012
C(Continent)[T.Americas] 0.0009 0.033 0.029 0.977 -0.065 0.067
C(Continent)[T.Asia] 0.0052 0.014 0.371 0.711 -0.023 0.033
C(Continent)[T.Europe] 0.0964 0.046 2.100 0.037 0.006 0.187
C(Continent)[T.Oceania] 0.0073 0.033 0.221 0.825 -0.058 0.072
Obesity 0.0015 0.001 1.956 0.052 -1.47e-05 0.003
C(Continent)[T.Americas]:Obesity 0.0007 0.002 0.473 0.637 -0.002 0.004
C(Continent)[T.Asia]:Obesity -0.0004 0.001 -0.424 0.672 -0.002 0.001
C(Continent)[T.Europe]:Obesity -0.0015 0.002 -0.742 0.459 -0.005 0.002
C(Continent)[T.Oceania]:Obesity -0.0015 0.001 -1.116 0.266 -0.004 0.001
==============================================================================
Omnibus: 6.491 Durbin-Watson: 2.194
Prob(Omnibus): 0.039 Jarque-Bera (JB): 6.542
Skew: 0.361 Prob(JB): 0.0380
Kurtosis: 3.665 Cond. No. 403.
==============================================================================
Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
Parameters: Intercept -0.007119
C(Continent)[T.Americas] 0.000949
C(Continent)[T.Asia] 0.005212
C(Continent)[T.Europe] 0.096381
C(Continent)[T.Oceania] 0.007268
Obesity 0.001498
C(Continent)[T.Americas]:Obesity 0.000717
C(Continent)[T.Asia]:Obesity -0.000403
C(Continent)[T.Europe]:Obesity -0.001457
C(Continent)[T.Oceania]:Obesity -0.001481
dtype: float64
R-Squared: 0.5240127498765232
# Allow for the Continent variable to be treated categorically by encoding categorical variables without affecting model
# The : says that we have a possible interaction between Deaths and Obesity that we would like to explore and that
# Covid Deaths are different based on Obesity from different Continents
model = smf.ols(formula='Deaths ~ Obesity + C(Continent) + Deaths:Obesity', data=continent_data).fit()
summary = model.summary()
print(summary)
print("\n" + "Parameters:", model.params)
print("\n" + "R-Squared: ", model.rsquared)
OLS Regression Results
==============================================================================
Dep. Variable: Deaths R-squared: 0.967
Model: OLS Adj. R-squared: 0.966
Method: Least Squares F-statistic: 769.7
Date: Tue, 14 Dec 2021 Prob (F-statistic): 3.82e-113
Time: 17:13:16 Log-Likelihood: 540.40
No. Observations: 163 AIC: -1067.
Df Residuals: 156 BIC: -1045.
Df Model: 6
Covariance Type: nonrobust
============================================================================================
coef std err t P>|t| [0.025 0.975]
--------------------------------------------------------------------------------------------
Intercept 0.0083 0.002 4.785 0.000 0.005 0.012
C(Continent)[T.Americas] 0.0074 0.002 3.023 0.003 0.003 0.012
C(Continent)[T.Asia] 0.0010 0.002 0.476 0.635 -0.003 0.005
C(Continent)[T.Europe] 0.0113 0.003 4.261 0.000 0.006 0.017
C(Continent)[T.Oceania] 0.0057 0.004 1.418 0.158 -0.002 0.014
Obesity -0.0005 0.000 -4.988 0.000 -0.001 -0.000
Deaths:Obesity 0.0377 0.001 46.380 0.000 0.036 0.039
==============================================================================
Omnibus: 43.657 Durbin-Watson: 1.756
Prob(Omnibus): 0.000 Jarque-Bera (JB): 492.449
Skew: -0.496 Prob(JB): 1.16e-107
Kurtosis: 11.457 Cond. No. 134.
==============================================================================
Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
Parameters: Intercept 0.008261
C(Continent)[T.Americas] 0.007435
C(Continent)[T.Asia] 0.001009
C(Continent)[T.Europe] 0.011313
C(Continent)[T.Oceania] 0.005736
Obesity -0.000534
Deaths:Obesity 0.037693
dtype: float64
R-Squared: 0.9673225789023759
fig = px.violin(continent_data, x = 'Continent', y='Meat', points = 'all', color = 'Continent', box = True)
fig.update_layout(
title_text='Meat Fat Percentage compared by each Continent of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(food_continent_data, x = 'Continent', y='Meat', points = 'all', color = 'Continent', box = True)
fig.update_layout(
title_text='Meat Consumption Percentage compared by each Continent of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(food_continent_data, x = 'Continent', y='Treenuts', points = 'all', color = 'Continent', box = True)
fig.update_layout(
title_text='Treenut Consumption Percentage compared by each Continent of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(food_continent_data, x = 'Continent', y='Vegetables', points = 'all', color = 'Continent', box = True)
fig.update_layout(
title_text='Vegetables Consumption compared by each Continent of the World',
autosize = False,
width = 1500,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
fig.show()
fig = px.violin(food_continent_data, x = 'Continent', y='Pulses', points = 'all', color = 'Continent', box = True)
fig.update_layout(
title_text='Pulses Consumption compared by each Continent of the World',
autosize = False,
width = 1200,
height = 900,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
))
# Illustrating the plot
fig.show()